EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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 ex

📌 Chief Data Engineer (México)
🏢 Epam Systems
📍 México