Senior Data Architect & Lakehouse Lead

EPAM Systems; Mexico; On-site; PHP 6,897,000 - 10,658,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certifications

LinkedIn Learning access

Global career opportunities

Employee groups

Community involvement

Job summary

EPAM Systems seeks 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 with stakeholders across time zones and drive outcomes with high autonomy.

You will lead data modeling, build end-to-end pipelines, and design lakehouse ETL/ELT workflows, while ensuring data quality, documentation, and maintainability across the platform.

Qualifications

• 7+ years of data engineering experience with modern data warehousing and lakehouse patterns.
• 2+ 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).

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.

Skills

Dimensional data modeling

SQL analytics

Databricks

dbt

End-to-end delivery

Stakeholder management

Kimball methodology

Confluence

Communication

English proficiency

Tools

Confluence

Tableau

Power BI

Job description

EPAM Systems seeks 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 with stakeholders across time zones and drive outcomes with high autonomy.

You will lead data modeling, build end-to-end pipelines, and design lakehouse ETL/ELT workflows, while ensuring data quality, documentation, and maintainability across the platform.