Chief Data Engineer

We are looking for a chief-level Chief Data Engineer to own end-to-end data modeling and pipeline delivery for a multi-phase enterprise data lake re-architecture on a modern AWS stack. You will partner closely with stakeholders across time zones and drive outcomes with high autonomy. Apply now.

Responsibilities

• Lead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structures
• Own end-to-end pipeline delivery from requirements discovery through deployment and hypercare
• Design ETL/ELT workflows that evolve traditional warehousing practices into a modern lakehouse approach
• Build and maintain transformations in dbt with reliable tests, documentation, and lineage practices
• Develop data pipelines in Databricks with performance, scalability, and maintainability in mind
• Partner with US-based stakeholders to elicit requirements, clarify definitions, and anticipate future needs
• Coordinate delivery across an engineering team with time-zone overlap and ensure clear handoffs
• Validate data quality through SQL-based checks, unit tests, and UAT support
• Document models, pipelines, and decisions to enable alignment and long-term maintainability
• Provide basic dashboarding support to validate outputs and confirm business usability

Requirements

• 7+ years of data engineering experience with modern data warehousing and lakehouse patterns
• 7+ years of hands-on SQL experience for analytics engineering and data validation
• Experience with ETL/ELT solutions across batch and incremental processing
• Experience with Databricks in production environments
• Experience with dbt for transformations, testing, and documentation
• Senior stakeholder management experience working with non-technical partners
• End-to-end delivery ownership from requirements through deployment and support
• Strong dimensional modeling skills using star schema and Kimball methodology
• Strong documentation skills using collaboration tools (e.g., Confluence)
• Excellent communication skills for clear written updates and executive-ready narratives
• Upper-Intermediate English proficiency (B2, Upper-Intermediate)

Nice to have

• Apache Spark experience for large-scale distributed processing
• Experience with Tableau or Power BI for light visualization and validation
• HR domain exposure and ability to ramp quickly on HR data 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