Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman 4.7
San Jose, CA jobs
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 - DataArchitecture - Senior Manager - Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in DataArchitecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. 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. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. 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 Senior Manager in DataArchitecture, 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. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
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. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As DataArchitect - Senior Manager, you will have an expert understanding of dataarchitecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around dataarchitectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
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:
Technical Skills Applications Integration
Cloud Computing and Cloud Computing ArchitectureDataArchitecture Design and Modelling
Data Integration and Data Quality
AI/Agentic AI driven data operations
Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
Strong relationship management and business development skills.
Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
Collaborate with cross-functional teams (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 dataarchitecture strategies and projects.
Lead the design and implementation of modern dataarchitectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global dataarchitecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in dataarchitecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
A Bachelor's degree required in STEM
12+ years professional consulting experience in industry or in technology consulting.
12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
5+ years' experience with native cloud products and services such as Azure or GCP.
8+ years of experience mentoring and leading teams of dataarchitects and data engineers, fostering a culture of innovation and professional development.
In-depth knowledge of dataarchitecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
Data Security and Database Management
Enterprise Data Management and Metadata Management
Ontology Design and Systems Design
Ideally, you'll also have
Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
Experience working at big 4 or a major utility.
Experience with cloud data platforms like 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.
Building and Managing Relationships
Client Trust and Value and Commercial Astuteness
Communicating With Impact and Digital Fluency
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 are key to success in this dynamic role.
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 $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. 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 ************************** .
#J-18808-Ljbffr
$172.8k-374k yearly 3d ago
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Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman 4.7
San Francisco, CA jobs
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 - DataArchitecture - Senior Manager - Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in DataArchitecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. 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. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. 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 Senior Manager in DataArchitecture, 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. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
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. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As DataArchitect - Senior Manager, you will have an expert understanding of dataarchitecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around dataarchitectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
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:
Technical Skills Applications Integration
Cloud Computing and Cloud Computing ArchitectureDataArchitecture Design and Modelling
Data Integration and Data Quality
AI/Agentic AI driven data operations
Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
Strong relationship management and business development skills.
Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
Collaborate with cross-functional teams (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 dataarchitecture strategies and projects.
Lead the design and implementation of modern dataarchitectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global dataarchitecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in dataarchitecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
A Bachelor's degree required in STEM
12+ years professional consulting experience in industry or in technology consulting.
12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
5+ years' experience with native cloud products and services such as Azure or GCP.
8+ years of experience mentoring and leading teams of dataarchitects and data engineers, fostering a culture of innovation and professional development.
In-depth knowledge of dataarchitecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
Data Security and Database Management
Enterprise Data Management and Metadata Management
Ontology Design and Systems Design
Ideally, you'll also have
Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
Experience working at big 4 or a major utility.
Experience with cloud data platforms like 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.
Building and Managing Relationships
Client Trust and Value and Commercial Astuteness
Communicating With Impact and Digital Fluency
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 are key to success in this dynamic role.
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 $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. 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 ************************** .
#J-18808-Ljbffr
$172.8k-374k yearly 4d ago
Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman 4.7
San Diego, CA jobs
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 - DataArchitecture - Senior Manager - Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in DataArchitecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. 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. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. 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 Senior Manager in DataArchitecture, 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. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
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. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As DataArchitect - Senior Manager, you will have an expert understanding of dataarchitecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around dataarchitectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
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:
Technical Skills Applications Integration
Cloud Computing and Cloud Computing ArchitectureDataArchitecture Design and Modelling
Data Integration and Data Quality
AI/Agentic AI driven data operations
Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
Strong relationship management and business development skills.
Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
Collaborate with cross-functional teams (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 dataarchitecture strategies and projects.
Lead the design and implementation of modern dataarchitectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global dataarchitecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in dataarchitecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
A Bachelor's degree required in STEM
12+ years professional consulting experience in industry or in technology consulting.
12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
5+ years' experience with native cloud products and services such as Azure or GCP.
8+ years of experience mentoring and leading teams of dataarchitects and data engineers, fostering a culture of innovation and professional development.
In-depth knowledge of dataarchitecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
Data Security and Database Management
Enterprise Data Management and Metadata Management
Ontology Design and Systems Design
Ideally, you'll also have
Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
Experience working at big 4 or a major utility.
Experience with cloud data platforms like 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.
Building and Managing Relationships
Client Trust and Value and Commercial Astuteness
Communicating With Impact and Digital Fluency
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 are key to success in this dynamic role.
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 $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. 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 ************************** .
#J-18808-Ljbffr
$172.8k-374k yearly 5d ago
Oil & Gas Data Strategy Leader
Ernst & Young Oman 4.7
Palo Alto, CA jobs
A global consulting firm is seeking a Data Management and Strategy - Manager in the Oil & Gas sector. This role involves leading analytics projects, developing data governance frameworks, and providing strategic insights to clients. The ideal candidate has a strong background in data analytics and governance, with a minimum of 6 years' experience, particularly in the oil & gas industry. This position offers a competitive salary range from $125,500 to $230,200, depending on experience and location.
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$125.5k-230.2k yearly 2d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
San Francisco, CA jobs
A leading global consulting firm is seeking a Senior Manager specializing in DataArchitecture within the utilities sector. This role involves leading complex technology projects, impacting business outcomes through innovative data solutions. Candidates should have a strong background in dataarchitecture, cloud technologies, and experience mentoring teams. The successful applicant will engage with clients, ensuring effective delivery and quality management within a dynamic consulting environment.
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$134k-185k yearly est. 4d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
Palo Alto, CA jobs
A prominent global consulting firm is seeking a Senior Manager in DataArchitecture to work within the burgeoning Power & Utilities sector. This role requires a strong background in dataarchitecture, cloud computing, and AI. Candidates should have a STEM degree and over 12 years of relevant experience, including leading teams and driving technology projects. The successful candidate will develop data solutions that enhance business outcomes and will be a trusted advisor to senior client stakeholders, with numerous opportunities for professional growth.
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$134k-185k yearly est. 5d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
San Diego, CA jobs
A global consulting firm is seeking a Senior Manager in DataArchitecture for the Power & Utilities sector. The role demands expertise in dataarchitecture and a strong consulting background. Responsibilities include leading technology projects, managing teams, and fostering client relationships. Ideal candidates will have deep knowledge of data solutions, project management skills, and a Bachelor's in a STEM field. This position offers a competitive salary range and flexible working conditions.
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$130k-181k yearly est. 5d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
San Jose, CA jobs
A global consulting firm is seeking an experienced Senior Manager in DataArchitecture to oversee innovative technology projects in the Power & Utilities sector. The ideal candidate should possess strong skills in dataarchitecture, data modernization, and experience in consulting environments. Responsibilities include managing timelines, costs, and quality for driven outcomes while working with cross-functional teams to enhance client engagements. This position is crucial for driving data strategy and ensuring high-profile project deliveries while fostering client trust.
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$134k-185k yearly est. 3d ago
Workday HRIS Lead & Data Insights
Nuvation Bio, Inc. 4.1
San Francisco, CA jobs
A leading biopharmaceutical company in San Francisco is seeking a Senior Manager, HRIS to manage the Workday implementation and HR data reporting. The ideal candidate will have extensive experience with Workday, project management skills, and a strong technical background. Key responsibilities include leading system implementation, maintaining HR data integrity, and providing insightful HR metrics to aid decision-making. This role also offers competitive compensation and benefits package including unlimited vacation and health coverage.
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$111k-156k yearly est. 1d ago
Databricks Data Engineer - Manager - Consulting - Location Open
Ernst & Young Oman 4.7
Palo Alto, CA jobs
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 dataarchitecture, 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 dataarchitecture 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 dataarchitecture 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
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.
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.
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 **************************.
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$150.7k-261.6k yearly 4d ago
Databricks Data Engineer - Manager - Consulting - Location Open
Ernst & Young Oman 4.7
San Francisco, CA jobs
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 dataarchitecture, 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 dataarchitecture 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 dataarchitecture 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
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.
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.
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.
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 **************************.
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$150.7k-261.6k yearly 5d ago
EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Director
Ernst & Young Oman 4.7
San Francisco, CA jobs
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle
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.
EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity
EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity.
With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence.
Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients.
Your key responsibilities
The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands‑on experience solving some of the most interesting and mission‑critical business questions with data.
Skills and attributes for success
Lead ingestion and ETL design for structured and semi‑structured data (CSV, JSON, APIs, Flat Files).
Understand schema, data quality, and transformation logic for multiple sources on a client‑by‑client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs.
Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data).
Build data access layers optimized for ML (feature stores, event streams, vector stores).
Define and enforce standards for data provenance, quality checks, logging, and version control.
Partner with AI/ML and Platform teams to ensure data is ML‑ and privacy‑ready (HIPAA, SOC2, etc.).
To qualify for the role you must have
A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
Expertise in cloud‑native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt).
Experience with merging and reconciling third‑party data (public APIs, vendor flat files, dashboards).
Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use.
Basic understanding of ML/feature pipelines and downstream modeling needs.
The ability and willingness to travel and work in excess of standard hours when necessary.
Ideally, you will have
Experience working in a startup and/or management/strategy consulting.
Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
Collaborative, problem‑solving, and growth‑oriented mindset.
What we look for
We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
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 $205,000 to $235,000. 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 ************************** .
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$205k-235k yearly 5d ago
Director, Growth Platforms Data Scientist
Ernst & Young Oman 4.7
San Francisco, CA jobs
A leading global consulting firm seeks a Data Scientist - Director in San Francisco to drive AI solutions and data initiatives. The ideal candidate will lead multi-source data pipelines, architect complex data solutions while collaborating with business leaders. Candidates should have a strong educational background, extensive experience in data engineering, and proficiency with SQL and cloud-native infrastructure. This role offers a competitive salary range of $205,000 to $235,000 and promotes a hybrid working model.
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$205k-235k yearly 5d ago
Chief Content Architect for AI-Driven Media
Ramp 4.5
San Francisco, CA jobs
A forward-thinking financial operations platform is seeking a Head of Content to define its voice and build a cohesive media strategy. The ideal candidate will have a proven record in creating impactful content and experience with AI-driven processes. Key responsibilities include overseeing content production, growing audience engagement, and developing repeatable media formats. This role offers competitive benefits, including comprehensive health insurance and flexible PTO.
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$176k-275k yearly est. 2d ago
Senior EPM Solutions Architect: Translate Business into Tech
Ernst & Young Oman 4.7
San Jose, CA jobs
A global consulting firm is seeking a Senior Solution Architect to help clients navigate enterprise performance management. The candidate should have at least 2-4 years of experience, a Bachelor's degree, and be willing to travel up to 80%. The role includes translating business requirements into technical solutions and engaging with clients to lead workstreams. Strong problem-solving and communication skills are essential.
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$114k-168k yearly est. 3d ago
Senior EPM Solution Architect - FinTech & Cloud
Ernst & Young Oman 4.7
San Francisco, CA jobs
A leading global professional services firm is seeking a Senior Solution Architect who will play a vital role in translating business requirements into impactful technical solutions. The ideal candidate will have a Bachelor's degree and 2-4 years of consulting experience, especially with EPM solutions. This position offers the opportunity to engage directly with clients, leading initiatives that bridge business and technology effectively. Competitive compensation, benefits, and a flexible working environment are provided.
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$115k-168k yearly est. 5d ago
IAM Strategy & Cloud Identity Architect
Ernst & Young Oman 4.7
Palo Alto, CA jobs
A global professional services firm is seeking a Digital Identity & Authentication SME to enhance user experience and manage complex security needs. The role involves designing IAM solutions using technologies like Microsoft Entra and Okta. Candidates should have a strong understanding of identity management and several years of relevant experience. This position is based in California, offering competitive compensation and a hybrid work model.
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$88k-139k yearly est. 4d ago
CPQ Solutions Architect - Comms, Media & Tech
Accenture 4.7
Illinois jobs
A leading consulting firm based in California is looking for a skilled CPQ Solutions Architect to transform client sales and quoting strategies. You'll lead teams and improve CRM systems while ensuring effective customer engagement. Ideal candidates have over 4 years of experience in architecting CPQ solutions and a solid understanding of sales team operations. This position offers competitive compensation ranging from $63,800 to $205,800 depending on experience and location. You'll be part of a dynamic, agile team where communication and leadership skills are crucial.
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$65k-96k yearly est. 1d ago
Legal Recruiting Systems & Data Analyst
Benesch Law 4.5
Chicago, IL jobs
Who We Are
At Benesch we pride ourselves on exceeding expectations and building trust not only with our clients but with our employees - Benesch's #1 asset. Committed to providing not only the highest level of legal service to our clients, Benesch also aspires to create a positive work environment for our employees. Our Firm continues to earn placement on Chicago and Cleveland's Top Workplaces list, along with Cleveland's NorthCoast 99 Top Workplaces rankings. We also continue to advance on the AmLaw 150 list, placing us among the top 150 law firms in the country.
Benesch is proud to be recognized for being a Firm that attracts and retains top talent - making Benesch a great place to work. We offer a hybrid schedule, career development and growth, transparent and visible leadership teams, and a place where diversity, equity and inclusion is celebrated. In addition, the Firm offers a full array of benefits which can be viewed at **************************
Working with Us - Come and "Be Benesch!"
We are one of the fastest growing firms in the nation, and have offices in Chicago, Columbus, San Francisco, New York City, and Wilmington. We continue to expand our geographic footprint and value the talent that comprises each of our locations. If you are someone who champions a First in Service approach and are ready to be part of an exciting and growing Firm, we would invite you to apply to join our team.
Want to know more? To hear from some of our team, click here: *********************************************
Benesch is proud to announce the opening for a Legal Recruiting Systems & Data Analyst in our Chicago office! This position is hybrid and has work from home flexibility.
Position Summary:
Do you have 4 or more years of experience with data analytics or systems support with a legal or professional services recruiting department? Are you looking to take your technical skill set and focus on managing and maintaining legal recruiting platforms? Are you excited about designing and maintaining dashboards to track recruiting KPIs? Then you may be interested in our Legal Recruiting Systems & Data Analyst position. This role is perfect for tech focused legal recruiting professional who is looking to be the HRIS to a busy legal recruiting team.
The Legal Recruiting Systems & Data Analyst is responsible for optimizing legal recruiting technology platforms and leveraging data insights to support strategic hiring decisions. This role ensures the smooth operation of systems used for lateral attorney recruitment, while capturing, analyzing, and transforming data into actionable intelligence for firm management, practice group leaders (PGLs), and the legal recruiting team.
POSITION RESPONSIBILITIES
Manages and maintains VI Recruit (ATS), Leopard List, Firm Prospect, Monday.com, LinkedIn, and other recruiting platforms as identified.
Acts as a liaison between the legal recruiting team and the technology group to configure systems based on evolving recruiting needs.
Trains users on recruiting systems and develops or maintains user guides and standard operating procedures.
Designs and maintains dashboards and reports that track key recruiting KPIs.
Analyzes hiring data to identify trends and recommend process improvements.
Partners with the Director of Legal Recruiting and team members to evaluate recruitment initiatives and outcomes using data-driven insights.
Ensures data accuracy across all recruiting platforms and reports.
Identifies opportunities to streamline recruiting workflows through automation or system integration.
Supports change management initiatives related to new recruiting tools or processes.
Benchmarks internal recruiting metrics against industry standards and peer firms.
Sets and monitors success metrics, including time-to-hire, candidate engagement, pipeline strength, and new hire performance and retention.
Conceptualizes and oversees the development of dashboards to track KPIs, analyze data for trends, conduct equity checks, and inform pipeline strategy.
Other duties and projects as assigned.
QUALIFICATIONS
The Legal Recruiting Systems & Data Analyst should hold a bachelor's degree in information systems, data analytics, or a related field, with 4-6 years of experience in recruiting operations, data analytics, or systems support, preferably within a law firm or professional services environment. The ideal candidate will have hands-on experience with legal recruiting platforms such as VI Recruit, Leopard List, Firm Prospect, or Monday.com, and demonstrate proficiency in Excel and data visualization tools. A strong analytical mindset, excellent problem-solving abilities, and effective communication skills are essential. An understanding of legal recruiting cycles and industry dynamics is also a plus.
The salary range for this position is $79K to $99K.
Please note that quoted salary ranges are based on Benesch's good faith belief at the time of the job posting and are not a guarantee of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, and experience. Base pay is only one part of the Total Rewards that Benesch provides to compensate and recognize our staff professionals for their work. Full-time positions are eligible for a discretionary bonus and a comprehensive benefits package.
Benesch is an equal opportunity employer. We strongly value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability (where applicant is qualified to perform the essential functions of the job with or without reasonable accommodations), medical condition, protected veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law.
Applicants who are interested in applying for a position and require special assistance or an accommodation during the process due to a disability should contact the Benesch Human Resources Department by phone at ************ or email at **********************.
$79k-99k yearly 52d ago
Data Architect
Us Tech Solutions 4.4
Pasadena, CA jobs
US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************
We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well.
Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset.
Job Description
RESPONSIBILITIES:
• Translating customers business & technical requirements into a data solution architecture in alignment with ADP's overall architectural directions and strategies.
• A Technical leader who drives the customers' transformation to modern DataArchitecture & store technologies such as NoSQL.
• Develops a deep understanding of the current/future technical challenges of customers, and based on that understanding, formulates an aspirational application architecture and transformation roadmap.
• Translates complex Data store centric requirements and use cases to technical artifacts such as application specifications, data models and architectural blueprints.
• Identify and implement Performance improvements and track performance metrics.
• Establish and drive standards (performance, security) across products.
• Develop strategies for data acquisition; achieve recovery, and implementation of database.
• Should work with Database Administrators and Data Analysts to ensure they can easily use and access data.
• Maintain database integrity and plan for natural disaster and cyber-attacks.
• Making use of code and data the architect should turn it into logical patterns that can be used for analysis purpose.
• Deliver convincing and persuasive presentations to both technical and business teams.
• As the custodian of Common Data Model will provide the requisite standards and governance around the canonical model.
Qualifications
QUALIFICATIONS REQUIRED:
• Excellent knowledge of Computation Theory, Data Structures, Algorithms, Design Patterns and Data Modelling techniques.
• Excellent communication, articulation and presentation skills.
• Experience building large scale distributed data processing systems/applications.
• Strong foundational knowledge and experience with distributed systems and computing systems in general.
• Deep understanding of various ETL/ELT tools is required.
• Skilled at logical and physical data modeling, data policies, warehousing, strategy and query languages.
Additional Information
Thanks & Regards
Kushal Kumar
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