Data Lead Jobs
Data Lead jobs are open across technology, finance, healthcare, and retail at every level from senior analyst to principal, with specializations in analytics engineering, data platform strategy, and cross-functional data governance. See the openings below and apply to the ones that match your experience.
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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Role Overview
As the Technical Lead - Data Engineering, you will architect, lead, and drive the technical execution of a high-throughput, near real-time data caching layer supporting Operational Data Store (ODS) views. You will lead the engineering team responsible for ingesting high-frequency account update events (via Kafka/CDC), orchestrating cache refreshes, and designing high-performance PostgreSQL persistence architectures on AWS to guarantee sub-second lookups and rock-solid consistency for downstream consumers. 8+ years in Data Engineering with at least 2+ years in a lead or principal role.
Key Responsibilities
- Architecture & Technical Leadership: Define the end-to-end data architecture, data modeling, partitioning, indexing, and retention strategies for high-volume PostgreSQL/Aurora workloads.
- Team Guidance & Code Quality: Lead and mentor a team of Senior and Mid-level Data Engineers; establish best practices for SQL performance tuning, database migrations (Liquibase), and CI/CD pipelines.
- Caching: Build cache read/write logic in Amazon Elastic Cache (Redis), including key design, TTLs and invalidation handling.
- Performance Tuning: Monitor and improve high-throughput read/write queries, lock contention and index overhead.
- Real-Time & Batch Pipelines: Architect event-driven ingestion pipelines to consume events from event streams, driving near real-time cache invalidation and refresh mechanisms.
- Data Integrity & Reconciliation: Design automated reconciliation frameworks and audit jobs to detect cache drift against source ODS views and guarantee consistency.
- AI-Assisted Engineering: Drive adoption of AI-assisted engineering tools (code generation, SQL optimization, test automation) to accelerate delivery and ensure robust test coverage.
- Cross-Functional Collaboration: Partner closely with Service Modernization leads, API engineers, enterprise architects, and platform/cloud operations.
Required Qualifications & Experience
- AWS Data Ecosystem: Amazon Aurora PostgreSQL, RDS, and DynamoDB
- Experience in Data Modeling (ODS, transactional cache patterns), Partitioning, Indexing strategies, and Data Retention/Archival policies
- Caching: Hands-on experience with Amazon Elastic Cache (Redis), including cache design, key and TTL strategies, invalidation patterns and keeping cache data consistent with the source
- Programming: Proficient in Java/Python
- Streaming & Messaging: Apache Kafka or AWS MSK event consumption and offset management.
- Hands-on experience integrating AI-assisted development & testing practices into engineering workflows
- Expert-level PostgreSQL / Advanced SQL: (query optimization, execution plan analysis, vacuuming, connection pooling).
- Database DevOps: Schema version control using Liquibase or Flyway.
- Proven track record with large-scale ETL/ELT pipelines and Change Data Capture (CDC) / stream-based data synchronization.
- Financial services, core banking, or payment platforms experience: (ODS familiarity is a strong plus).
The base compensation range for this role in the posted location is: 89,000 to 120,000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Role Overview
As the Technical Lead - Data Engineering, you will architect, lead, and drive the technical execution of a high-throughput, near real-time data caching layer supporting Operational Data Store (ODS) views. You will lead the engineering team responsible for ingesting high-frequency account update events (via Kafka/CDC), orchestrating cache refreshes, and designing high-performance PostgreSQL persistence architectures on AWS to guarantee sub-second lookups and rock-solid consistency for downstream consumers. 8+ years in Data Engineering with at least 2+ years in a lead or principal role.
Key Responsibilities
- Architecture & Technical Leadership: Define the end-to-end data architecture, data modeling, partitioning, indexing, and retention strategies for high-volume PostgreSQL/Aurora workloads.
- Team Guidance & Code Quality: Lead and mentor a team of Senior and Mid-level Data Engineers; establish best practices for SQL performance tuning, database migrations (Liquibase), and CI/CD pipelines.
- Caching: Build cache read/write logic in Amazon Elastic Cache (Redis), including key design, TTLs and invalidation handling.
- Performance Tuning: Monitor and improve high-throughput read/write queries, lock contention and index overhead.
- Real-Time & Batch Pipelines: Architect event-driven ingestion pipelines to consume events from event streams, driving near real-time cache invalidation and refresh mechanisms.
- Data Integrity & Reconciliation: Design automated reconciliation frameworks and audit jobs to detect cache drift against source ODS views and guarantee consistency.
- AI-Assisted Engineering: Drive adoption of AI-assisted engineering tools (code generation, SQL optimization, test automation) to accelerate delivery and ensure robust test coverage.
- Cross-Functional Collaboration: Partner closely with Service Modernization leads, API engineers, enterprise architects, and platform/cloud operations.
Required Qualifications & Experience
- AWS Data Ecosystem: Amazon Aurora PostgreSQL, RDS, and DynamoDB
- Experience in Data Modeling (ODS, transactional cache patterns), Partitioning, Indexing strategies, and Data Retention/Archival policies
- Caching: Hands-on experience with Amazon Elastic Cache (Redis), including cache design, key and TTL strategies, invalidation patterns and keeping cache data consistent with the source
- Programming: Proficient in Java/Python
- Streaming & Messaging: Apache Kafka or AWS MSK event consumption and offset management.
- Hands-on experience integrating AI-assisted development & testing practices into engineering workflows
- Expert-level PostgreSQL / Advanced SQL: (query optimization, execution plan analysis, vacuuming, connection pooling).
- Database DevOps: Schema version control using Liquibase or Flyway.
- Proven track record with large-scale ETL/ELT pipelines and Change Data Capture (CDC) / stream-based data synchronization.
- Financial services, core banking, or payment platforms experience: (ODS familiarity is a strong plus).
The base compensation range for this role in the posted location is: 89,000 to 120,000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Data Lead Jobs by Experience Level
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Find Data Lead JobsData Lead Job Market
Who's Hiring
- JPMorganChase68
- Oracle33
- AbbVie27
- CBRE21
- EOS IT Solutions19
Top Industries Hiring
- Technology & Software64
- Consulting & Professional Services14
- Manufacturing12
- Banking & Financial Services9
- Insurance8
What Employers Look For
The qualifications that appear most often in data lead jobs.
- Five or more years of experience in data engineering, analytics, or a related field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience with modern data platforms such as Snowflake, BigQuery, or Databricks
- Experience designing and maintaining data pipelines and transformation workflows using tools like dbt
- Demonstrated ability to lead technical workstreams and mentor junior data practitioners
- Bachelor's degree in computer science, statistics, mathematics, or a related quantitative discipline
Tips for Your Data Lead Job Search
Quantify the scope you owned
Data lead roles are defined by ownership, so your resume needs to show how many analysts you guided, how many pipelines you shipped, or how much data volume you were responsible for. Vague claims about leadership won't cut it without scale behind them.
Distinguish leading from managing
Many data lead postings want someone who drives technical direction without direct reports. Tailor your resume language to reflect whether you led by influence, mentored junior engineers, or formally managed headcount, since those map to very different job descriptions.
Apply early to roles that fit
Migrate Mate lists data lead openings from across the United States in one place, so you can find roles that match your experience and apply directly to each listing without having to piece together results from multiple sources.
Target postings by stack, not just title
Data lead roles vary enormously by tooling. Search for your core stack, whether that's dbt and Snowflake, Spark and Databricks, or Python and BigQuery, alongside the title so you surface openings where you can hit the ground running instead of learning a new platform on day one.
Prepare a system design narrative
Expect at least one interview stage where you walk through a data system you designed or inherited and improved. Practice explaining the tradeoffs you made, what broke, and what you would change now. Interviewers want your reasoning, not just the architecture diagram.
Negotiate scope before title or seniority
In data lead offers, the team size, budget authority, and cross-functional access you get on day one matter more than the seniority label. Ask directly which product and engineering teams you'll partner with and how much autonomy you'll have over the roadmap before you accept.
Data Lead Jobs: Frequently Asked Questions
Which companies are hiring the most data leads?
The companies hiring the most data leads right now include JPMorganChase, Oracle, and AbbVie, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is spread across technology, financial services, and healthcare, so openings are not limited to any single sector.
How many data lead jobs are remote?
About 72% of data lead openings are fully remote or hybrid as of November 2026, reflecting the fundamentally distributed nature of modern data work. Analytics engineering and data platform roles tend to have the highest remote availability, while data lead positions tied to real-time operations or embedded product teams are more likely to require on-site presence.
How do you become a data lead?
Start by building deep hands-on expertise in a core area such as analytics engineering, data platform architecture, or business intelligence. Take ownership of end-to-end projects rather than individual tasks, and actively mentor teammates to demonstrate leadership readiness. Move into roles that give you cross-functional exposure, then document the systems and decisions you owned so you can speak to them concretely in interviews.
Can you get a data lead role with limited experience?
Getting hired as a data lead without senior-level experience is possible if you've led a significant project end-to-end, even informally. Candidates who built a production data pipeline, drove adoption of a new tool across a team, or took ownership of data quality at a small company often qualify for lead roles at growth-stage companies where titles are tied to contribution rather than years on paper.
What does the data lead interview process look like?
Most data lead interview processes include a recruiter screen, a technical assessment covering SQL and your core stack, a system design round where you walk through a past architecture decision, and a cross-functional conversation with a product or engineering partner. Final rounds often include a presentation or case study where you propose a data strategy for a realistic business problem the team is facing.
Where can I find and apply to data lead jobs?
You can find and apply to data lead jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your experience level, industry focus, and technical stack, then apply directly to each listing. All open positions are listed on this page, so you can start reviewing them right now.
See All 1,187+ Data Lead Jobs
Find roles that match your experience and apply in just a few clicks.
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