Chief Data Engineer

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a 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. You will lead dimensional modeling, build lakehouse ETL/ELT workflows, and design dbt transformations while ensuring quality through SQL checks and tests.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Data engineering

SQL

End-to-end delivery

Dimensional modeling

Stakeholder management

Documentation

Communication

Data lakehouse

Herramientas

Databricks

dbt

Tableau

Power BI

Informatica

Cognos

Business Objects

Oracle

Confluence

Descripción del empleo

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.ResponsibilitiesLead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structuresOwn end-to-end pipeline delivery from requirements discovery through deployment and hypercareDesign ETL/ELT workflows that evolve traditional warehousing practices into a modern lakehouse approachBuild and maintain transformations in dbt with reliable tests, documentation, and lineage practicesDevelop data pipelines in Databricks with performance, scalability, and maintainability in mindPartner with US-based stakeholders to elicit requirements, clarify definitions, and anticipate future needsCoordinate delivery across an engineering team with time-zone overlap and ensure clear handoffsValidate data quality through SQL-based checks, unit tests, and UAT supportDocument models, pipelines, and decisions to enable alignment and long-term maintainabilityProvide basic dashboarding support to validate outputs and confirm business usabilityRequirements7+ years of data engineering experience with modern data warehousing and lakehouse patterns7+ years of hands-on SQL experience for analytics engineering and data validationExperience with ETL/ELT solutions across batch and incremental processingExperience with Databricks in production environmentsExperience with dbt for transformations, testing, and documentationSenior stakeholder management experience working with non-technical partnersEnd-to-end delivery ownership from requirements through deployment and supportStrong dimensional modeling skills using star schema and Kimball methodologyStrong documentation skills using collaboration tools (e.g., Confluence)Excellent communication skills for clear written updates and executive-ready narrativesUpper-Intermediate English proficiency (B2, Upper-Intermediate)Nice to haveApache Spark experience for large-scale distributed processingExperience with Tableau or Power BI for light visualization and validationHR domain exposure and ability to ramp quickly on HR data conceptsBackground with legacy BI/ETL tools such as Informatica, Cognos, or Business ObjectsExperience with traditional RDBMS platforms such as OracleWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.