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 Requirements7+ years of data engineering experience with modern data warehousing and lakehouse patterns7+ 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 Linked In Learning library and 22,000+ courses General career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In 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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📌 Chief data engineer (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México