Chief Data Engineer

EPAM Systems, Inc.; Colombia; A distancia; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a senior 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 collaborate with stakeholders across time zones, design lakehouse ETL/ELT, and drive scalable data pipelines.

Strong SQL, Databricks, and dbt experience are required. The role emphasizes leadership, documentation, and quality checks, with light dashboard validation to ensure business usability and

Formación

• 7+ years of data engineering experience with modern warehousing and lakehouse patterns.
• Hands-on SQL for analytics engineering and data validation.
• Experience with ETL/ELT across batch and incremental processing.
• Databricks in production and dbt for transformations, testing, documentation.

Responsabilidades

• Lead dimensional data modeling using star schemas and Kimball methodology.
• Own end-to-end pipeline delivery from requirements to deployment and support.
• Design ETL/ELT workflows for a modern lakehouse on AWS.
• Build and maintain dbt transformations with tests and lineage.
• Develop Databricks pipelines with performance and scalability.
• Coordinate with time-zone diverse stakeholders and ensure handoffs.
• Validate data quality with SQL checks, unit tests, and UAT support.
• Provide basic dashboarding validation for business usability.

Conocimientos

Data modeling

SQL

ETL/ELT

Databricks

dbt

Dimensional modeling

Stakeholder management

English communication

Educación

Bachelor's degree in CS/Engineering/Analytics

Herramientas

Databricks

dbt

Tableau/Power BI

Spark

Informatica/Cognos

Oracle

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.