Lead Data Engineer: Architect Data Lakes & Pipelines

EPAM Systems, Inc.; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification

Job summary

EPAM Systems, Inc. seeks 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 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 include dimensional data modeling, end-to-end delivery of pipelines, and designing ELT workflows in Databricks and dbt.

Qualifications

• 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.

Responsibilities

• Own end-to-end data modeling and pipeline delivery from requirements through deployment.
• Design and build ELT workflows in Databricks and dbt aligned to warehouse best practices.
• Coordinate with a distributed engineering team to plan work and unblock delivery.
• Partner with stakeholders to validate assumptions, manage expectations, and communicate progress.
• Troubleshoot data issues and optimize transformations for reliability and maintainability.

Skills

Data engineering

SQL

Databricks

dbt

Dimensional modeling

Star schema

ETL/ELT

Leadership

Stakeholder management

Code quality and testing

Tools

Informatica

Cognos

Business Objects

Tableau

Power BI

Oracle

Job description

EPAM Systems, Inc. seeks 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 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 include dimensional data modeling, end-to-end delivery of pipelines, and designing ELT workflows in Databricks and dbt.