Chief Data Architect & Lakehouse Lead

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

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