Senior Data Platform Engineer: AWS Lakehouse & Governance

EPAM Systems; Chile; On-site; CLP 25,000,000 - 42,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

LinkedIn Learning access

Global career opportunities

Employee training programs

Volunteer opportunities

Job summary

EPAM Systems in Chile seeks a Lead Data Platform Engineer to build and run an enterprise AWS native lakehouse platform that powers governed analytics through a centralized Enterprise Data Platform (EDP).

You will shape platform patterns, enable domain-owned data products with centralized governance, and guide migration from Microsoft-based platforms while improving reliability, observability, and cost.

Qualifications

• 5+ years of experience in data engineering, data platforms, or related fields.
• Hands-on experience with AWS data ecosystem services such as S3, Glue, and Lake Formation.
• Working knowledge of Amazon DataZone, IAM, and query engines such as Athena or Redshift.
• Demonstrated expertise designing and implementing lakehouse or modern data platform architectures.
• Practical experience building data ingestion, ETL/ELT pipelines, and orchestration frameworks.
• Strong understanding of data governance, security, and access control models.
• Solid exposure to enterprise data cataloging and metadata management.
• English proficiency at B2 (Upper-Intermediate) level or higher.

Responsibilities

• Contribute to enterprise data platform strategy and roadmap.
• Architect and evolve a modern AWS native lakehouse architecture.
• Define scalable, reusable data platform patterns and standards.
• Assist migration from legacy Microsoft based data platforms.
• Apply and improve the federated data operating model with data product standards.
• Enable delivery and ongoing operation of the data platform.
• Build data ingestion pipelines and transformation frameworks.
• Ensure platform reliability, performance, and scalability.
• Implement monitoring, observability, and operational controls.
• Optimize platform cost efficiency across storage, compute, and data processing workloads.
• Apply and enforce data governance standards, policies, and controls.
• Guide tooling and technology decisions across the platform ecosystem, including batch, streaming, and real-time processing.

Skills

Data engineering

Lakehouse architecture

Data governance

ETL/ELT pipelines

Orchestration frameworks

Observability

Tools

AWS S3

AWS Glue

Lake Formation

IAM

Athena

Redshift

Job description

EPAM Systems in Chile seeks a Lead Data Platform Engineer to build and run an enterprise AWS native lakehouse platform that powers governed analytics through a centralized Enterprise Data Platform (EDP).

You will shape platform patterns, enable domain-owned data products with centralized governance, and guide migration from Microsoft-based platforms while improving reliability, observability, and cost.