Data Engineer jobs at Deloitte - 144 jobs

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. Recruiting for this role ends on February 27, 2026 Work you'll do Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint. As a Consultant, you will be tasked with solving data problems end to end. This means: + Ability to understand business goals and translate them into Machine Learning use cases and model design + Understanding and applying clustering/sampling techniques to design + Grow your understanding of the multi-channel marketing optimization problem space + Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes + Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models + Being able to interpret the models that are being generated + Developing proofs of concept to verify your ideas + Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients + Working closely with clients throughout You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements. The team Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. Qualifications Required: + A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. + At least 2+ years of industry experience outside of academia + Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve + Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future Preferred : + A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. + Good problem decomposition skills and autonomy when faced with solving data problems + Experience manipulating large marketing data sets and performing ETL + Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design + Experience with large data sets generated in the Ad Tech or Marketing technology spaces + Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding. + Proficiency in high level scripting language, such as Python or R + Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises + If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us + Experience with Deep Learning architectures and/or Reinforcement Learning Information for applicants with a need for accommodation: ************************************************************************************************************ The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #Customer_US #AMC_US All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **The opportunity** As a Snowflake Subject Matter Expert (SME) you will be responsible for architecting, developing, and optimizing data warehouse and lakehouse solutions using the Snowflake platform and integrating into SAP BDC. Your expertise will be crucial in enabling the SAP BDC team to build a modern, scalable data platform that integrates SAP data with cloud-native services from Microsoft, Nvidia, Databricks, AWS, and Google. You will collaborate closely with data architects, engineers, and business teams to ensure data ingestion, storage, and access solutions on Snowflake meet performance, security, and compliance requirements supporting enterprise SAP data migration and analytics. **Your key responsibilities** + Design and implement Snowflake data warehouse and lakehouse architectures aligned with SAP data migration strategies. + Develop and optimize Snowflake SQL queries, stored procedures, and data transformation logic to support SAP workloads. + Manage Snowflake account configurations, resource monitors, virtual warehouses, and access controls. + Integrate Snowflake into SAP BDC, SAP Databricks and Databricks + Integrate Snowflake with SAP data sources and other data platform components, including Databricks, Azure Data Factory, and cloud storage. + Implement best practices for data partitioning, clustering, and caching to optimize performance and cost-efficiency. + Participate in data ingestion automation, metadata management, and monitoring within Snowflake environments. + Collaborate with security teams to enforce data governance, encryption, and compliance policies in Snowflake. + Support CI/CD and automation of Snowflake deployment and pipeline orchestration. + Provide knowledge transfer and technical guidance to team members and clients. + Stay updated on Snowflake innovations and new features relevant to SAP data platforms. **Skills and attributes for success** + Deep expertise in Snowflake data warehouse platform, including performance tuning and cost optimization. + Strong SQL skills and experience with Snowflake-specific features such as Time Travel, Zero Copy Cloning, Streams, and Tasks. + Experience with integration into SAP BTP, BDC and Hana DB + Familiarity with SAP data types, structures, and migration tools for seamless integration with Snowflake. + Experience with cloud ecosystems (Azure, AWS, GCP) and data orchestration tools (ADF, Airflow). + Understanding of data security, role-based access control (RBAC), and compliance in Snowflake. + Knowledge of data modeling principles for enterprise data warehouses. + Excellent communication and collaboration skills to work with global SAP and data teams. **Other Requirements:** + Experience working on SAP migration or BDC data projects is preferred. + Agile and DevOps experience with automation and pipeline deployment. + Certifications like SnowPro Core Certification or relevant cloud certifications are desirable. + Willingness to work in distributed teams and coordinate across time zones. **Job Requirements:** **Education:** BS/MS in Computer Science, Data Engineering, Information Systems, or a related field. **Experience:** 9+ years in data warehousing and cloud data platforms with 5+ years of hands-on Snowflake experience. **What we offer you** The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $87,200 to $163,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $104,600 to $185,300 . Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Modeling - Manager** **The opportunit** **y** We are looking for a dynamic and experienced Manager of Data Modeling to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills **Your Key Responsibilities** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. + Understand and analyze business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. + Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach, a core skill for this role. + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. + Having cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 10+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Strong business acumen with the ability to manage complex client relationships + Proven experience in managing and leading teams within a dynamic environment + Excellent communication and interpersonal skills + Cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. + Experience in leading and influencing teams, with a focus on mentorship and professional development. + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + The ability to foster an inclusive environment that values diverse perspectives and empowers team members. + Spanish speaking + Italian speaking **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **AI & Data -** **Data Modeler - Senior** We are seeking a highly skilled Senior Consultant Data Modeler with expertise in delivering data models that meet business requirements. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data models and solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Modeler, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Lead the design and development of **conceptual, logical, and physical data models** for the Enterprise Data Warehouse (EDW), adhering to **Kimball dimensional methodology (dimensional modeling approach), a core skill for this role** . + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 7+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Cloud knowledge and/or certification. Preferably Azure DP-203 + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + Spanish speaking + Italian speaking **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - AI & Data** **- Data Architect - Manager - Life Sciences Sector** EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more. **The opportunity** EY is seeking a Data Architecture Manager with a strong understanding of data and technology within the Life Sciences (Clinical (R&D) and Commercial) sector, complemented by a solid track record of delivery. This individual will spearhead the design, development, and governance of our clients' data architectures, ensuring scalable, effective, and secure data solutions that align with business objectives and support data imperatives. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. **Your key responsibilities** Your teams will design and build scalable solutions for life sciences clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. You will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. **Skills and attributes for success** To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: + Collaborate with cross-functional teams (Business Leads, Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. + Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. + Design and build solutions on AWS, Databricks, Snowflake. + Design conceptual, logical, physical layers of a data solution + Conduct data design reviews, striving for improved usability and efficiency. + Design blueprints for data extraction and basic transformations. + Participate in presentations and proposals for highly complex projects. + Technical Skills Applications Integration with third party vendor SaaS applications + Cloud Computing and Cloud Computing Architecture + Data Architecture Design and Platform Modernization + Implement data integration best practices + Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis + Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions + Define and develop client specific best practices around data management within a Hadoop environment or cloud environment + Recommend design alternatives for data ingestion, processing and provisioning layers + Experience in Enterprise grade solution implementations + Experience with BI, and data analytics databases + Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc. + Knowledge in Big data architecture patterns (Lambda, Kappa) + Experience in performance bench marking enterprise applications + Experience in Data security (on the move, at rest) **To qualify for the role you must have** + Bachelor's degree and 10-15 years of full-time working experience in Data Architecture/Engineering + 2-4 years of experience directly managing technical teams + At least 2 years working in the life sciences domains (Clinical (R&D) and Commercial), developing solutions for life sciences challenges + Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution + Excellent communicator (written and verbal formal and informal). + Ability to multi-task under pressure and work independently with minimal supervision + Strong verbal and written communication skills + Must be a team player and enjoy working in a cooperative and collaborative team environment + Adaptable to new technologies and standards + Participate in all aspects of AI and Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support **Ideally, you'll also have** + Building and Managing Relationships + Client Trust and Value and Commercial Astuteness + Communicating With Impact and Digital Fluency + Experience with cloud data platforms like Snowflake and Databricks. + Experience in leading and influencing teams, with a focus on mentorship and professional development + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges + The ability to foster an inclusive environment that values diverse perspectives and empowers team members **What we look for** We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Modeling - Manager** **The opportunit** **y** We are looking for a dynamic and experienced Manager of Data Modeling to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills **Your Key Responsibilities** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. + Understand and analyze business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. + Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach, a core skill for this role. + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. + Having cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 10+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Strong business acumen with the ability to manage complex client relationships + Proven experience in managing and leading teams within a dynamic environment + Excellent communication and interpersonal skills + Cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. + Experience in leading and influencing teams, with a focus on mentorship and professional development. + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + The ability to foster an inclusive environment that values diverse perspectives and empowers team members. + Spanish speaking + Italian speaking **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .