Chief Data Engineer

EPAM is a leading global 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.

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

We offer

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.

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