Data engineer jobs in Louisville, KY - 416 jobs

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing* * Perform analyses on products to answer open-ended questions and provide strategic recommendations. * Design and guide experiments/analysis to measure impact and drive product improvements. * Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis. *What we look for in you:* * At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience. * Experience driving impact for a digital product with an iterative development cycle. * Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.). * Experience in data analyses using SQL. * Experience in programming/modeling in Python. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $152,405-$179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

The Company Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 45 years. Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We celebrate our unique history as the pioneers of scientific breakthroughs that have an incredible track record of improving lives. And yet, our ambitions are bigger and bolder. Together, we are united in a bold quest to solve the world's most complex health challenges and serve society. Our ability to bring transformative medicines to patients depends on the positive experience, engagement and resilience of everyone who works here. Our employees are the heart of Genentech and the driving force behind the progress that brings important new medicines to the people who need them. We believe a great people experience is critical for revolutionizing healthcare and that's why we're committed to cultivating an environment where people feel valued, included and able to thrive. The Opportunity As the Principal Supply Chain Data Scientist, you will lead advanced analytical initiatives to optimize pharmaceutical distribution processes, leveraging cutting-edge data science methodologies and technologies. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision-making. Reporting directly to the Head of Business Excellence, you will drive advanced analytics, process optimization, and strategic supply chain insights. This position combines technical expertise, leadership, and collaboration to impact the broader supply chain ecosystem. What You'll Do Advanced Data Analysis & Predictive Modeling: Design, implement, and validate advanced algorithms and predictive models to solve supply chain challenges in a high-pace distribution operation. Apply machine learning, statistical methods, and optimization techniques to enhance forecasting, inventory management, and logistics planning. Analyze large datasets and business systems to identify trends, patterns, and innovative opportunities using data mining tools and statistical approaches. Develop advanced AI-driven tools for improved planning accuracy, distribution efficiency, and warehouse operations. Develop and maintain reports and dashboards using Tableau. Generate and distribute reports using SQL Reporting Services. Supply Chain Distribution Optimization & Innovation: Develop and implement distribution plans to optimize product movement from manufacturing facilities to customers. Create and execute detailed schedules for deliveries, warehouse operations, and related activities. Effectively manage warehouse capacity modeling and assessments to ensure accurate and timely insights. Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvement Plan inbound/outbound logistics to meet daily and weekly distribution schedules. Plan efficient delivery routes and schedules for cost-effective transportation of medications. Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost-effectiveness. Drive the creation of digital twin models for scenario planning and strategic decision-making, ensuring efficient and sustainable supply chain practices. Evaluate and propose innovation opportunities through investment modeling and process improvements. Strategic Impact & Communication: Serve as a strategic advisor, translating business challenges into actionable, data-driven insights. Present findings, recommendations, and strategic plans to senior leadership, aligning advanced analytics with organizational goals. Act as the subject matter expert in supply chain analytics, providing guidance across initiatives and projects. Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations. Performance Monitoring, Accurate Reporting, Improvement, and Problem Solving: Track key performance indicators (KPIs) such as on-time delivery rates, inventory turns, and order fulfillment rates to identify areas for improvement. Analyze performance data to identify issues and implement changes to enhance efficiency and customer service. Address disruptions in the distribution process promptly and develop contingency plans for potential risks. Regularly review performance metrics and adjust processes for ongoing optimization. Use advanced planning systems and AI-driven tools to improve planning accuracy and optimize warehouse operations. Create comprehensive documentation and reports to communicate insights and recommendations. Regulatory Compliance: Ensure compliance with relevant regulations and guidelines related to pharmaceutical distribution and supply chain management. Business Intelligence (BI): Create, implement, and manage data integration workflows using SQL Integration Services. Develop multidimensional cubes and tabular models in SQL Analysis Services. Ensure data integrity, accuracy, and security across all BI systems. Continuously improve BI processes and methodologies to enhance efficiency and effectiveness. Who You Are Bachelor's degree in a quantitative or technical field (e.g., Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required. Advanced degrees (Master's, PhD) in the same fields strongly preferred, with demonstrated expertise in supply chain analytics. Previous Experience: Over 10 years of experience in supply chain analytics, business intelligence, or advanced data science roles, with a minimum of 8 years in advanced supply chain analytics. Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred. Technical Knowledge / Skills / Competencies: Proficiency in Python, SQL, and cloud-based tools with experience in developing machine learning models and optimization algorithms. Hands-on experience with advanced statistical and machine learning packages (e.g., scikit-learn, TensorFlow, R). Skilled in optimization tools (e.g., Gurobi, CPLEX) and inventory management platforms. Deep understanding of supply chain management principles, including forecasting, inventory optimization, logistics planning, and procurement. In-depth experience with pharmaceutical distribution requirements, industry standards, and compliance regulations. Familiarity with warehouse operations, capacity planning, network design, and space utilization analysis. Familiarity with SQL Integration Services, SQL Analysis Services, and SQL Reporting Services. Relocation funding is not available for this role. The expected salary range for this position based on the primary location of Louisville, Kentucky is $127,100 - $236,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. You'll have... Bachelor's degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline. Proficiency in tools and programming languages such as Python, R, SQL, or similar. Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis is desirable. Strong skills in handling structured and unstructured datasets for reporting and modeling. Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Proven ability to work independently and exercise sound judgment on technical approaches. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members, and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ********************************** This position is a range of salary grades 6, 7 and 8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. #LI-Onsite #LI-JL1 What you'll do… Programming & Databases: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) SQL (Advanced querying, stored procedures, query optimization) Cloud Platforms & Big Data: Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc Data Technologies & Protocols: MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining Manufacturing & IIoT: Industrial Internet of Things (IIoT) Architectures & Principles Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) Familiarity with software for data access/visualization tools Manufacturing Environment & Equipment Data Machine Learning & Statistical Analysis: Quality Control/Prediction, Process Optimization Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) Statistical Modeling, Hypothesis Testing Visualization & UI/Dashboard Development: Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) UI/UX Design Principles for Data Applications Data Storytelling Software Development & Operations: Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: Develop and validate machine learning and statistical models to support business strategy. Gather, manage, and analyze structured and unstructured data for reporting and analytics. Research and apply innovative analytical methodologies and techniques. Collaborate with cross-functional teams to define objectives and develop actionable insights. Interpret and present analytical results Create comprehensive reports, projections, and visual presentations. Adhere to established guidelines and contribute to strategic discussions.

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. **What you'll do...** + **Programming & Databases:** + Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) + SQL (Advanced querying, stored procedures, query optimization) + **Cloud Platforms & Big Data:** + Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc + **Data Technologies & Protocols:** + MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining + **Manufacturing & IIoT:** + Industrial Internet of Things (IIoT) Architectures & Principles + Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) + Familiarity with software for data access/visualization tools + Manufacturing Environment & Equipment Data + **Machine Learning & Statistical Analysis:** + Quality Control/Prediction, Process Optimization + Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) + Statistical Modeling, Hypothesis Testing + **Visualization & UI/Dashboard Development:** + Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) + UI/UX Design Principles for Data Applications + Data Storytelling + **Software Development & Operations:** + Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: + Develop and validate machine learning and statistical models to support business strategy. + Gather, manage, and analyze structured and unstructured data for reporting and analytics. + Research and apply innovative analytical methodologies and techniques. + Collaborate with cross-functional teams to define objectives and develop actionable insights. + Interpret and present analytical results + Create comprehensive reports, projections, and visual presentations. + Adhere to established guidelines and contribute to strategic discussions. **You'll have...** + Bachelor's degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline. + Proficiency in tools and programming languages such as Python, R, SQL, or similar. + Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis is desirable. + Strong skills in handling structured and unstructured datasets for reporting and modeling. + Excellent communication skills with the ability to simplify complex concepts for diverse audiences. + Proven ability to work independently and exercise sound judgment on technical approaches. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including: + Immediate medical, dental, and prescription drug coverage + Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more + Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more + Vehicle discount program for employees and family members, and management leases + Tuition assistance + Established and active employee resource groups + Paid time off for individual and team community service + A generous schedule of paid holidays, including the week between Christmas and New Year's Day + Paid time off and the option to purchase additional vacation time. **For more information on salary and benefits, click here:** ********************************** (******************************************************************************************************************************************************************************* This position is a range of salary grades 6, 7 and 8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. \#LI-Onsite \#LI-JL1 **Requisition ID** : 55289

**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry. The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** Day-to-Day Responsibilities + Work in balanced teams consisting of Product Managers, Product Designers, and engineers + Test first - We strive for Test-Driven Development (TDD) for all production code + CI (Continuous Integration) everything - Automation is core to our development process + Architect user-facing interfaces and design functions that help users visualize and interact with their data + Contribute to both frontend and backend codebases to enhance and develop projects + Build software at a sustainable pace to ensure longevity, reliability, and higher quality output Frontend Development + Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript + Build reusable component libraries and implement best practices for frontend architecture + Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency + Optimize applications for maximum speed, scalability, and accessibility + Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees Backend Development + Develop and maintain RESTful APIs and backend services using Python or Java + Design and implement data models and database schemas + Deploy to cloud environments (primarily AWS) + Integrate with third-party services and APIs + Write clean, maintainable, and well-documented code Palantir Foundry Development (Highly Preferred) + Build custom applications and integrations within the Palantir Foundry platform + Develop Ontology-based applications leveraging object types, link types, and actions + Create data pipelines and transformations using Python transforms + Implement custom widgets and user experiences using the Foundry SDK + Design and build functions that assist users to visualize and interact with their data Product Development & Delivery + Research problems and break them into deliverable parts + Work with a Lean mindset and deliver value quickly + Participate in all stages of the product development and deployment lifecycle + Conduct code reviews and provide constructive feedback to team members + Work with product managers and stakeholders to define requirements and deliverables + Contribute to architectural decisions and technical documentation **What We're Looking For:** + Experience with Palantir Foundry platform, required + 5+ years in web front-end or mobile development + Bachelor's or Master's degree in Computer Science or other related field, preferred + Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development + Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin + Experience with RESTful API design and development + Experience deploying to cloud environments (AWS preferred) + Understanding of version control systems, particularly GitHub + Experience with relational and/or NoSQL databases + Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn) + Experience with React, including React Native for mobile app development, preferred + Experience in Android or iOS development, preferred + Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred + Familiarity with CI/CD pipelines and DevOps practices, preferred + Experience with Spring framework, preferred + Working knowledge of Lean, User Centered Design, and Agile methodologies + Strong communication skills and ability to collaborate effectively across teams + Growth mindset - Aptitude and willingness to learn new technologies + Empathy - Kindness and empathy when building software for end users + Pride - Takes pride in engineering excellence and quality craftsmanship + Customer obsession - Obsessed with the end user experience of products + Strong problem-solving skills and attention to detail + Ability to work independently and as part of a balanced, multi-disciplinary team + Self-motivated with a passion for continuous learning and improvement **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Build your career at Sazerac! With almost 400 years of rich history, Sazerac Company has thrived as an independent, American family-owned company with operations in the United States and around the world. Since the 2000s, Sazerac has averaged double digit growth every year! Sazerac Company produces and markets the most award-winning bourbons and whiskeys in the world, including Buffalo Trace, Pappy Van Winkle, Eagle Rare, Blanton's, and Sazerac Rye. Additionally, Sazerac owns many popular brands across a range of spirits, including Fireball, Southern Comfort, Seagram's V.O., Myers's, Goldschläger, Parrot Bay, 99 Brand, and Platinum Vodka. We're proud of our award-winning culture and distilleries. Our Louisville office has been named one of the “Best Places to Work in Kentucky” four times, and our Buffalo Trace Distillery has earned the title of “world's most award-winning distillery” through the dedication of our craftsmen for well over 200 years. Whether you're a recent graduate or an experienced professional, Sazerac provides extraordinary opportunities for growth with competitive salaries and benefits in an exciting, entrepreneurial industry. Job Description/Responsibilities Bio: An experienced Data Architect with deep expertise in Microsoft Azure data services, along with strong working knowledge of Azure Synapse, Fabric, SQL Server, IBM DB2, and Cognos. This role is responsible for developing and governing enterprise-wide data architecture strategies to ensure consistency, quality, security, and accessibility of data across the organization. This team member will bring both technical depth and strategic vision to design scalable, modern, cloud-first data solutions aligned with business objectives. This position can be remote in AL, AR, DE, DC, FL, GA, IN, IA, KY, LA, ME, MD, MS, MO, NV, NH, NC, OH, OK, PA, SC, SD, TN, TX, VA or WY. Use Performance Development System (PDS) to enhance performance within the company through evaluation, planning, and goal execution. Strive to constantly develop oneself as a valuable asset through personal and professional growth and attention to the position's outcomes. Work closely with enterprise architects, data engineers, and governance teams to align data solutions with IT and business strategy. Provide leadership, and other functional areas, key measures against all performance based activities. Contribute to the overall company growth year over year by providing reliable data and support to all functions within the company. Provide data and systems that can be utilized by client groups to improve usability and thus team member's efficiency of day to day activities. This will lead to improved business decisions and strategic planning. Define and enforce standards for data quality, data lineage, metadata management, and master data management (MDM). Lead architectural planning, data platform modernization, and migration of legacy systems (SQL Server, DB2) to Azure. Perform data architecture reviews and ensure alignment with security, privacy, compliance, and performance requirements. Develop and maintain canonical data models, conceptual/logical/physical data models, and metadata repositories. Design and own enterprise data architecture that supports both operational and analytical workloads across cloud and on-premise environments. Translate complex business needs into end-to-end data architecture that delivers high availability, data integrity, and scalability. Architect data integration pipelines and ELT/ETL frameworks using Azure Data Factory, Synapse Pipelines, and custom orchestration when needed. Participate in architecture governance forums and contribute to technology roadmaps and reference architecture blueprints. Ensure organization and proper time-management by following list of priorities and organizing tasks based on this list. Provide timely updates to team member or requestors. Provide weekly priority updates to manager, along with details of non-priority tasks completed. Serve as the SME on Azure Data Platform technologies: Azure Synapse Analytics, Azure SQL (Database/MI), Azure Data Lake Gen2, Azure Data Factory, Azure Purview or Microsoft Fabric, and Azure Databricks for advanced analytics and large-scale processing. Provide architectural guidance for reporting and analytics solutions, including optimization of Cognos reports and semantic models. Qualifications/Requirements MUST Strong analytical and technical skills Excellent oral & written communication skills Working knowledge of MS Office Products (Word, Excel and Outlook) Demonstrate the ability to work as a team as well as self-directed Ability to handle multiple tasks at one time Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Detail-oriented with strong organizational and project management skills. A proactive mindset and the ability to adapt to a fast-paced and dynamic work environment Innovative, analytical, solution-oriented mindset with problem solving and strategic thinking skills to evaluate and provide actionable insights 8 years years of experience in data architecture, enterprise data solutions, or large-scale analytics environments Bachelor's degree in computer science, information systems, engineering, or related discipline Extensive hands-on experience in: microsoft azure data services (synapse, adf, data lake, sql), microsoft fabric (lakehouse, real-time analytics), azure databricks, ibm db2, cognos analytics (report modeling, framework manager) Strong understanding of data security, encryption, rbac, and compliance in cloud environments Experience in enterprise data modeling (3nf, dimensional, data vault), data integration and transformation design, t-sql and db2 sql (procedures, indexing, tuning), metadata and data catalog design and usage Proven ability to bridge the gap between business goals and technical execution PREFERRED Azure certifications such as: microsoft certified: azure data engineer associate, microsoft certified: azure solutions architect expert Experience with data governance tools (azure purview, informatica, collibra). Experience with enterprise bi tools beyond cognos (e.g., power bi). and integration with microsoft fabric and azure databricks Exposure to enterprise architecture frameworks (togaf, zachman) and data strategy initiatives Experience working with oracle fusion erp and informatica is preferred #LI-MD1

ADI is seeking a passionate Data Platforms Engineer to design, develop, and maintain our enterprise data platforms. As the Engineer of Data Platforms, you will be part of a talented engineering and operations team focused on building and supporting secure, performant, and scalable next gen data platforms that include Snowflake, Databricks, MS Fabric, PowerBI, DBT, Airflow, Azure data services, SQL Server database and modern AI/ML technologies. This role will help ensuring our data infrastructure meets both present and future needs while adhering to governance, compliance and operational excellence. **JOB DUTIES:** + Platform Development - end-to-end engineering data platforms, ensuring platform reliability, scalability, and extensibility that evolves with the business goals and customer needs + Build reusable frameworks and automation using snowflake cloud, GitHub, Azure Data Factory, DBT, or similar tools. + Maintain critical infrastructure, including OLTP databases, near real-time data pipelines, batch processing systems and frameworks that make data infrastructure accessible for engineering teams + Administer, configure, maintain and support data, analytics and cloud data platforms + Manage and administer data security and protection to protect the databases against threats or unauthorized access. + Contribute to data modeling, partitioning, indexing, clustering, and performance optimization efforts in Snowflake and other data platforms, following established best practices + Resource Monitoring, cost optimization, data validation and quality checks inbuilt into the data pipeline + Maintain run books and knowledge bases for platform operations team + Ensure seamless integration of data systems across the company, collaborating with data engineering and analytics teams to align solutions with business needs + Performs after-hours support for critical production systems with occasional, scheduled maintenance or release deployments and provide on call support as needed **YOU MUST HAVE:** + 2+ years' overall experience designing, deploying, managing and supporting RDBMS, Data Warehouse systems, Data Lake, and BI solutions, including working with any platforms such as, SQL Server, Snowflake Cloud, Databricks, DBT, ADF (Azure Data Factory) and other Azure services + Advanced SQL proficiency + Proficiency in Snowflake cloud advanced capabilities + Hands-on public cloud experience including experience with technologies and tools such as Continuous Integration, Continuous Deployment, Configuration Management, and Provisioning Automation with tools such as Github + Understanding of security practices and certificate management + Experience with orchestration tools **WE VALUE:** + Certifications in cloud technologies, data management, or data engineering (e.g., Azure Data Engineer, Snowflake SnowPro core/Advanced) + Understanding of enterprise data management principles + Experience with AI/ML technologies and MLOps capabilities and tools + Experience with Data Platforms administration \#LI-MH2 \#LI-HYBRID Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions. Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at ************************ At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the ****************************************************************************************************************************************************** If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

ADI is seeking a passionate Data Platforms Engineer to design, develop, and maintain our enterprise data platforms. As the Engineer of Data Platforms, you will be part of a talented engineering and operations team focused on building and supporting secure, performant, and scalable next gen data platforms that include Snowflake, Databricks, MS Fabric, PowerBI, DBT, Airflow, Azure data services, SQL Server database and modern AI/ML technologies. This role will help ensuring our data infrastructure meets both present and future needs while adhering to governance, compliance and operational excellence. JOB DUTIES: * Platform Development - end-to-end engineering data platforms, ensuring platform reliability, scalability, and extensibility that evolves with the business goals and customer needs * Build reusable frameworks and automation using snowflake cloud, GitHub, Azure Data Factory, DBT, or similar tools. * Maintain critical infrastructure, including OLTP databases, near real-time data pipelines, batch processing systems and frameworks that make data infrastructure accessible for engineering teams * Administer, configure, maintain and support data, analytics and cloud data platforms * Manage and administer data security and protection to protect the databases against threats or unauthorized access. * Contribute to data modeling, partitioning, indexing, clustering, and performance optimization efforts in Snowflake and other data platforms, following established best practices * Resource Monitoring, cost optimization, data validation and quality checks inbuilt into the data pipeline * Maintain run books and knowledge bases for platform operations team * Ensure seamless integration of data systems across the company, collaborating with data engineering and analytics teams to align solutions with business needs * Performs after-hours support for critical production systems with occasional, scheduled maintenance or release deployments and provide on call support as needed YOU MUST HAVE: * 2+ years' overall experience designing, deploying, managing and supporting RDBMS, Data Warehouse systems, Data Lake, and BI solutions, including working with any platforms such as, SQL Server, Snowflake Cloud, Databricks, DBT, ADF (Azure Data Factory) and other Azure services * Advanced SQL proficiency * Proficiency in Snowflake cloud advanced capabilities * Hands-on public cloud experience including experience with technologies and tools such as Continuous Integration, Continuous Deployment, Configuration Management, and Provisioning Automation with tools such as Github * Understanding of security practices and certificate management * Experience with orchestration tools WE VALUE: * Certifications in cloud technologies, data management, or data engineering (e.g., Azure Data Engineer, Snowflake SnowPro core/Advanced) * Understanding of enterprise data management principles * Experience with AI/ML technologies and MLOps capabilities and tools * Experience with Data Platforms administration #LI-MH2 #LI-HYBRID

We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing, developing, and maintaining robust data pipelines for structured, semi-structured, and unstructured data. This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization. **Key Responsibilities** + Design, develop, and optimize data pipelines using Python, Spark, and SQL. + Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources. + Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability. + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. + Develop and maintain data models, data dictionaries, and technical documentation. + Monitor, troubleshoot, and optimize data workflows for performance and scalability. + Ensure compliance with data governance, security, and privacy policies. + Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP). + Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. + Knowledge of any of the cloud platforms (AWS, Azure, GCP). + Understanding of data security, encryption, and compliance best practices. **Required Skills & Qualifications** + Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field + Good programming skills in Python and SQL + Good problem-solving, analytical, and communication skills + Ability to work collaboratively in a fast-paced environment + Familiarity with data orchestration tools (e.g., Airflow, Prefect) + Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.) + Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub) + Familiarity with data visualization tools + Basic understanding of ETL/ELT concepts, data modeling, and data architecture **Location** New hires will be hired at the Cognizant office in **Plano, TX or Teaneck, NJ,** where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment. **Start Date** New hires will start in **January or February 2026** . While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively. **Salary and Other Compensation:** Applications are accepted on an ongoing basis. The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Why Choose Us?** Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. **Benefits** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **Work Authorization** Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role. _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Qualifications You Must Have: * Requires a University Degree and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 years of experience or in absence of a degree, 14 years of relevant experience. * Must be comfortable interacting in cross functional organization at various levels and able to adapt messaging to audiences' technical skillsets. * 5+ years analyzing data and running reports (PowerBI or Tableau). * 5+ years' experience with programming (SQL or Python). * 5+ years' experience with ETL technologies (SSIS or Alteryx). * 5+ years' experience managing database objects (DDL). * Ideally experience with Snowflake & Databricks, Delta Lake & Databricks SQL Warehouse.

Ventures Unlimited is a service centric organization. Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs Title : Big Data Architect Location : Louisville, KY Duration: Full Time Job Description : • 10-15 yrs. total experience in Data and Information Management including 5 years in Big Data. • Design, Develop, Test, and Deploy Big Data solution using Cloudera and/or IBM Big Insights Hadoop distribution & open Source platforms. • Analyze, design, develop, test and deploy data driven analytics, event driven/ real time analytics, sets of analytics orchestrated through rule engines, analytics that discover and exploit social networks, streaming device data analytics with heterogeneous data environment • Collaborate with product/project managers, data scientists, business partners to formulate requirements to design, build and tune complex solutions. • Drive the overall architect responsibilities including roadmaps, leadership, planning, technical innovation, IT governance, etc. • Hands on experience in utilizing the emerging technologies like Spark, Machine Learning, Python, Scala, Kafka, Ambari, R and provide analytical solutions • Hands on experience in implementing NoSQL DB • Hands on experience in Natural Language processing and concept extraction methodologies. • Overview of cloud architecture - AWS preferably and implication and consideration to be taken into account for application data and application deployment. Design, Develop, Test, and Deploy Big Data solution using Cloudera and/or IBM Big Insights Hadoop distribution & open Source platforms. Thanks & Regards Rahul Kumar Ventures Unlimited Inc. Qualifications Big Data Architect Additional Information Contact "Rahul Kumar" for more details at ************ Ext :157

Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress. We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future. **The Role** We are seeking a Senior Data Warehouse/Lakehouse Developer to design, build, and optimize enterprise data solutions. This role combines advanced development expertise with strong analytical skills to translate business requirements into scalable, high-performance data systems. You will work closely with architects, product owners, and scrum teams, provide technical leadership, and ensure best practices in data engineering and testing. **Location** The position is a Work-From-Home available from any US-based location. You must be a US Citizen or Permanent Resident/Green Card for consideration. **The Main Responsibilities** **Design & Development** + Develop and maintain ETL/ELT processes for Data Warehouse and Lakehouse environments. + Create and optimize complex SQL queries, stored procedures, and data transformations. + Build and enhance source-to-target mapping documents. + Assist with UAT build and data loading for User Acceptance Testing. + Estimate levels of effort (LOEs) for analysis, design, development, and testing tasks. **Technical Leadership** + Provide technical leadership and mentorship to team members. + Collaborate with architects, system engineers, and product owners to understand and detail business/system requirements and logical/physical data models. + Participate in and consult on integrated application and regression testing. + Conduct training sessions for system operators, programmers, and end users. **Analytical Expertise** + Analyze programming requests to ensure seamless integration with current applications. + Perform data analysis and mapping to ensure accuracy and consistency. + Generate test plans and test cases for quality assurance. + Research and evaluate problems, recommend solutions, and implement decisions. **Continuous Improvement** + Monitor and optimize data pipelines for performance and reliability. + Stay current with emerging technologies and recommend improvements to architecture and processes. + Adapt to changing priorities and aggressive project timelines while managing multiple complex projects. **What We Look For in a Candidate** **Technical Skills** + Proficiency in SQL and at least one programming language (Python, Java, Scala). + Experience with ETL tools (Informatica, Kafka) and Lakehouse technologies (Azure Data Factory, PySpark). + Familiarity with databases (Databricks, Oracle, SQL Server). + Knowledge of modeling tools (Visio, ERwin, UML) and data analysis tools (TOAD, Oracle SQL Developer, DBeaver). + Strong understanding of data warehousing concepts and Lakehouse architecture. **Analytical & Problem-Solving** + Ability to translate business requirements into technical solutions. + Strong troubleshooting and performance tuning skills. + Demonstrated organizational, oral, and written communication skills. **Experience** + 6+ years of experience with a Bachelor's degree OR 4+ years with a Master's degree. + Proven ability to lead technical teams and manage projects. + Experience in applications development and systems analysis. **Preferred Qualifications** + Project management experience. + Familiarity with CI/CD pipelines and version control (Git). + Exposure to big data frameworks (Spark, Hadoop) and cloud ecosystems (Azure, AWS, GCP). **Compensation** This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $82,969 - $110,625 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY $87,117 - $116,156 in these states: CO HI MI MN NC NH NV OR RI $91,266 - $121,688 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: Benefits (**************************************************** Bonus Structure \#LI-Remote \#LI-PS Requisition #: 340407 **Background Screening** If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. **Equal Employment Opportunities** We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. **Disclaimer** The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

The Data Architect - Senior role is responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level. This role combines deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. The Data Architect leads the development of enterprise-level data integration strategies, ensuring data quality and performance across the organization. Additionally, they run moderate to complex projects independently and mentor staff-level architects/engineers, ensuring the successful delivery of data models, pipelines, and warehouses across cloud and on-premise systems This role will work Monday-Friday during regular business hours. We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings. **Essential Functions** + Responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level. + Combines deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. + Leads the development of enterprise-level data integration strategies, ensuring data quality and performance across the organization + Responsible for running moderate to complex projects independently and mentoring staff-level architects/engineers, ensuring the successful delivery of data models, pipelines, and warehouses across cloud and on-premise systems **Skills** + Data architecture and design + Experience with Databricks + Epic healthcare domain knowledge is an added advantage + Cloud infrastructure and data solutions + ETL/ELT development and data integration + Database and performance optimization + Data modeling and documentation + Coding/Programming + Data governance and security + Collaboration and stakeholder management + Leadership and project management **Minimum Qualifications** + Advanced proficiency with SQL and extensive experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL). + Significant experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions. + Deep familiarity with programming languages such as Python and PySpark for data engineering tasks. + Comprehensive knowledge of ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and cloud-native solutions (e.g., Azure Data Factory, Databricks). + Exceptional communication skills for collaborating with stakeholders and teams. + Advanced knowledge of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data architecture projects to ensure alignment with business goals and efficient execution. + Demonstrated ability to stay updated on industry trends and advancements. + Proven experience in providing mentorship and guidance to junior architects. **Preferred Qualifications** + Experience with Databricks, Apache Spark, and Delta Lake for real-time and batch data processing. + Proficiency in data streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs. + Experience working with APIs to retrieve and integrate data from external systems. + Experience developing APIs to provide data as a product. + Familiarity with CI/CD pipelines for data engineering workflows. + Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). + Familiarity with business intelligence tools such as Tableau, Power BI, or Looker for delivering insights from data architectures. + Experience in a healthcare environment. + Epic experience. + Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment. **Location:** Lake Park Building **Work City:** West Valley City **Work State:** Utah **Scheduled Weekly Hours:** 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $54.12 - $85.20 We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits package here (***************************************************** . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. What will you make today? As part of our Manufacturing team, you'll help build the world-class, state-of-the-art smart vehicles we're known for. In our plants around the world, we're constantly developing new technologies and processes to further increase our efficiency. You'll get the satisfaction of making great products people use and love. What you'll do… * Programming & Databases: * Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) * SQL (Advanced querying, stored procedures, query optimization) * Cloud Platforms & Big Data: * Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc * Data Technologies & Protocols: * MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining * Manufacturing & IIoT: * Industrial Internet of Things (IIoT) Architectures & Principles * Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) * Familiarity with software for data access/visualization tools * Manufacturing Environment & Equipment Data * Machine Learning & Statistical Analysis: * Quality Control/Prediction, Process Optimization * Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) * Statistical Modeling, Hypothesis Testing * Visualization & UI/Dashboard Development: * Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) * UI/UX Design Principles for Data Applications * Data Storytelling * Software Development & Operations: * Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: * Develop and validate machine learning and statistical models to support business strategy. * Gather, manage, and analyze structured and unstructured data for reporting and analytics. * Research and apply innovative analytical methodologies and techniques. * Collaborate with cross-functional teams to define objectives and develop actionable insights. * Interpret and present analytical results * Create comprehensive reports, projections, and visual presentations. * Adhere to established guidelines and contribute to strategic discussions. What you'll do… * Programming & Databases: * Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) * SQL (Advanced querying, stored procedures, query optimization) * Cloud Platforms & Big Data: * Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc * Data Technologies & Protocols: * MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining * Manufacturing & IIoT: * Industrial Internet of Things (IIoT) Architectures & Principles * Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) * Familiarity with software for data access/visualization tools * Manufacturing Environment & Equipment Data * Machine Learning & Statistical Analysis: * Quality Control/Prediction, Process Optimization * Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) * Statistical Modeling, Hypothesis Testing * Visualization & UI/Dashboard Development: * Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) * UI/UX Design Principles for Data Applications * Data Storytelling * Software Development & Operations: * Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: * Develop and validate machine learning and statistical models to support business strategy. * Gather, manage, and analyze structured and unstructured data for reporting and analytics. * Research and apply innovative analytical methodologies and techniques. * Collaborate with cross-functional teams to define objectives and develop actionable insights. * Interpret and present analytical results * Create comprehensive reports, projections, and visual presentations. * Adhere to established guidelines and contribute to strategic discussions.

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Build your career at Sazerac! With almost 400 years of rich history, Sazerac Company has thrived as an independent, American family-owned company with operations in the United States and around the world. Since the 2000s, Sazerac has averaged double digit growth every year! Sazerac Company produces and markets the most award-winning bourbons and whiskeys in the world, including Buffalo Trace, Pappy Van Winkle, Eagle Rare, Blanton's, and Sazerac Rye. Additionally, Sazerac owns many popular brands across a range of spirits, including Fireball, Southern Comfort, Seagram's V.O., Myers's, Goldschläger, Parrot Bay, 99 Brand, and Platinum Vodka. We're proud of our award-winning culture and distilleries. Our Louisville office has been named one of the "Best Places to Work in Kentucky" four times, and our Buffalo Trace Distillery has earned the title of "world's most award-winning distillery" through the dedication of our craftsmen for well over 200 years. Whether you're a recent graduate or an experienced professional, Sazerac provides extraordinary opportunities for growth with competitive salaries and benefits in an exciting, entrepreneurial industry. Job Description/Responsibilities Bio: An experienced Data Architect with deep expertise in Microsoft Azure data services, along with strong working knowledge of Azure Synapse, Fabric, SQL Server, IBM DB2, and Cognos. This role is responsible for developing and governing enterprise-wide data architecture strategies to ensure consistency, quality, security, and accessibility of data across the organization. This team member will bring both technical depth and strategic vision to design scalable, modern, cloud-first data solutions aligned with business objectives. This position can be remote in AL, AR, DE, DC, FL, GA, IN, IA, KY, LA, ME, MD, MS, MO, NV, NH, NC, OH, OK, PA, SC, SD, TN, TX, VA or WY. * Use Performance Development System (PDS) to enhance performance within the company through evaluation, planning, and goal execution. Strive to constantly develop oneself as a valuable asset through personal and professional growth and attention to the position's outcomes. * Work closely with enterprise architects, data engineers, and governance teams to align data solutions with IT and business strategy. Provide leadership, and other functional areas, key measures against all performance based activities. * Contribute to the overall company growth year over year by providing reliable data and support to all functions within the company. * Provide data and systems that can be utilized by client groups to improve usability and thus team member's efficiency of day to day activities. This will lead to improved business decisions and strategic planning. * Define and enforce standards for data quality, data lineage, metadata management, and master data management (MDM). Lead architectural planning, data platform modernization, and migration of legacy systems (SQL Server, DB2) to Azure. Perform data architecture reviews and ensure alignment with security, privacy, compliance, and performance requirements. * Develop and maintain canonical data models, conceptual/logical/physical data models, and metadata repositories. Design and own enterprise data architecture that supports both operational and analytical workloads across cloud and on-premise environments. Translate complex business needs into end-to-end data architecture that delivers high availability, data integrity, and scalability. * Architect data integration pipelines and ELT/ETL frameworks using Azure Data Factory, Synapse Pipelines, and custom orchestration when needed. Participate in architecture governance forums and contribute to technology roadmaps and reference architecture blueprints. * Ensure organization and proper time-management by following list of priorities and organizing tasks based on this list. Provide timely updates to team member or requestors. Provide weekly priority updates to manager, along with details of non-priority tasks completed. * Serve as the SME on Azure Data Platform technologies: Azure Synapse Analytics, Azure SQL (Database/MI), Azure Data Lake Gen2, Azure Data Factory, Azure Purview or Microsoft Fabric, and Azure Databricks for advanced analytics and large-scale processing. Provide architectural guidance for reporting and analytics solutions, including optimization of Cognos reports and semantic models. Qualifications/Requirements MUST * Strong analytical and technical skills * Excellent oral & written communication skills * Working knowledge of MS Office Products (Word, Excel and Outlook) * Demonstrate the ability to work as a team as well as self-directed * Ability to handle multiple tasks at one time * Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. * Detail-oriented with strong organizational and project management skills. * A proactive mindset and the ability to adapt to a fast-paced and dynamic work environment * Innovative, analytical, solution-oriented mindset with problem solving and strategic thinking skills to evaluate and provide actionable insights * 8 years years of experience in data architecture, enterprise data solutions, or large-scale analytics environments * Bachelor's degree in computer science, information systems, engineering, or related discipline * Extensive hands-on experience in: microsoft azure data services (synapse, adf, data lake, sql), microsoft fabric (lakehouse, real-time analytics), azure databricks, ibm db2, cognos analytics (report modeling, framework manager) * Strong understanding of data security, encryption, rbac, and compliance in cloud environments * Experience in enterprise data modeling (3nf, dimensional, data vault), data integration and transformation design, t-sql and db2 sql (procedures, indexing, tuning), metadata and data catalog design and usage * Proven ability to bridge the gap between business goals and technical execution PREFERRED * Azure certifications such as: microsoft certified: azure data engineer associate, microsoft certified: azure solutions architect expert * Experience with data governance tools (azure purview, informatica, collibra). * Experience with enterprise bi tools beyond cognos (e.g., power bi). and integration with microsoft fabric and azure databricks * Exposure to enterprise architecture frameworks (togaf, zachman) and data strategy initiatives * Experience working with oracle fusion erp and informatica is preferred #LI-MD1 Min Max