Lead Data Engineer
- Role
- Fullstack
- Experience
- Lead
- Employment
- Contract
Open to CO, MX only. Set where you work from to check your eligibility.
No BS summary
We are seeking a Lead Data Engineer to own end-to-end data modeling and pipeline delivery as part of a multi-phase enterprise data lake re-architecture. You will partner closely with US-based stakeholders and a distributed engineering team to turn business needs into reliable, well-modeled data products—apply to help drive the next phase to completion.
Core skills
Required skills
Optional skills
Required languages
We are seeking a Lead Data Engineer to own end-to-end data modeling and pipeline delivery as part of a multi-phase enterprise data lake re-architecture. You will partner closely with US-based stakeholders and a distributed engineering team to turn business needs into reliable, well-modeled data products—apply to help drive the next phase to completion.
Responsibilities
- Lead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structures
- Own end-to-end delivery of data pipelines from requirements through deployment
- Gather business requirements directly from stakeholders and translate them into data products
- Design and build ELT workflows in Databricks and dbt aligned to warehouse best practices
- Define and execute unit tests and support UAT to ensure data quality and usability
- Document models, pipelines, and decisions clearly to enable shared understanding
- Coordinate with a distributed engineering team to plan work, unblock delivery, and align outputs
- Partner with stakeholders to validate assumptions, manage expectations, and communicate progress
- Troubleshoot data issues and optimize transformations for reliability and maintainability
Requirements
- 5+ years of data engineering experience across modern and traditional stacks
- 5+ years of data warehousing experience with strong ETL/ELT foundations
- 5+ years of dimensional data modeling experience using Kimball and star schema patterns
- Strong leadership skills with high autonomy and ownership in light-touch environments
- Strong stakeholder management skills with frequent interaction with non-technical US partners
- Strong project delivery skills across requirements, build, test, UAT, and deployment
- Advanced SQL skills for analytics-grade transformations and validation
- Hands-on Databricks skills for building and operating data pipelines
- Hands-on dbt skills for modular transformations, testing, and documentation
- Strong communication skills with clear written and verbal updates and documentation habits
- Strong requirements gathering skills with ability to anticipate future business needs
- English proficiency: B2 Upper-Intermediate
Nice to have
- Apache Spark experience for large-scale data processing
- Experience with Tableau or Power BI for basic dashboarding and validation
- HR domain exposure and ability to ramp up quickly on domain concepts
- Background with legacy BI/ETL tools such as Informatica, Cognos, or Business Objects
- Experience with traditional RDBMS platforms such as Oracle
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
What you'll do
- Lead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structures
- Own end-to-end delivery of data pipelines from requirements through deployment
- Gather business requirements directly from stakeholders and translate them into data products
- Design and build ELT workflows in Databricks and dbt aligned to warehouse best practices
- Define and execute unit tests and support UAT to ensure data quality and usability
- Document models, pipelines, and decisions clearly to enable shared understanding
- Coordinate with a distributed engineering team to plan work, unblock delivery, and align outputs
- Partner with stakeholders to validate assumptions, manage expectations, and communicate progress
- Troubleshoot data issues and optimize transformations for reliability and maintainability
What they require
- 5+ years of data engineering experience across modern and traditional data stacks
- 5+ years of experience in data warehousing with strong ETL/ELT foundations
- 5+ years of dimensional data modeling experience using Kimball and star schema patterns
- Strong leadership skills with high autonomy and ownership in light-touch environments
- Strong stakeholder management skills with frequent interaction with non-technical US partners
- Strong project delivery experience in requirements, engineering, testing, UAT, and deployment
- Advanced SQL skills for analytics-grade transformations and validation
- Hands-on Databricks competence for engineering and operating data pipelines
- Hands-on dbt competence for modular transformations, testing, and documentation
- Strong communication skills with clear written and verbal updates and documentation habits
- Strong requirements elicitation with the ability to anticipate future business needs
- English proficiency at B2 Upper-Intermediate level
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification programs
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Our Workforce Experience team helps clients realize digital and IT transformation by identifying and bridging gaps in employee knowledge, behaviors, and mindset. We design, develop, and implement a variety of solutions for online and in-person learning, including videos, articles, podcasts, interactive eLearning, coaching, experiential learning, instructor-led training, and assessments, using the latest insights from the learning sciences. In other words, we go beyond "training" to create learning experiences that really work.