Lead Data Engineer

EPAM Systems is a global technology company providing engineering and digital transformation services. The Lead Data Engineer will own end-to-end dimensional data modeling and pipeline delivery during the re-architecture of a major enterprise data lake, using Databricks and dbt while coordinating with US-based stakeholders and an India-based engineering team.

Responsibilities:

• Own dimensional data models from requirements through deployment using Kimball-aligned patterns
• Design, build and maintain pipelines in Databricks and dbt to support a modernised data lake
• Translate business requirements into scalable datasets, anticipating future reporting and analytics needs
• Lead end-to-end delivery including development, unit testing, UAT support and release coordination
• Produce clear technical documentation in Confluence and maintain decision records and data definitions
• Partner with US-based stakeholders to align outcomes, scope and delivery expectations
• Collaborate with an India-based engineering team to coordinate build, reviews and handovers
• Support basic dashboarding and validation to confirm data meets business expectations

Requirements:

• Dimensional modeling capability including star schema, fact and dimension design and aggregate awareness
• Hands on experience with python programming
• Databricks experience for data engineering development and operational support dbt (data build tool) experience including modular modelling, testing and deployment practices
• SQL proficiency for analytics-grade transformations and performance-aware querying
• Traditional ETL and data warehousing foundation adapted to modern cloud data stacks
• End-to-end delivery ownership across requirements, build, testing, UAT and deployment
• Clear communication and strong documentation habits for non-technical stakeholder engagement
• Self-directed working style with comfort operating under light-touch leadership
• Experience re-architecting enterprise data lakes or data warehouses in multi-phase programs
• Familiarity with release planning across distributed teams and time zones
• Exposure to basic BI development or semantic layer design to support reporting consumption