Senior Data Platform Engineer: AWS Lakehouse & Governance

EPAM Systems

Colombia

Remote

COP 90,000,000 - 150,000,000

Full time

3 days ago
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Job summary

EPAM Systems, Inc. seeks a Senior Data Platform Engineer to define, build and operate the Enterprise Data Platform (EDP), a centralized, scalable data foundation enabling enterprise analytics.

You will help shape the data platform strategy and design a modern AWS-native lakehouse with governance across domains. You will implement reusable patterns, migrate from legacy systems, and optimize costs while ensuring reliability and security.

Qualifications

  • 3+ years of experience in data engineering, data platforms, or related fields.
  • Experience designing and implementing lakehouse or modern data platform architectures.
  • Expertise in data ingestion, ETL/ELT pipelines, and orchestration frameworks.
  • Understanding of data governance, security, and access control models.
  • Experience with enterprise data cataloging and metadata management.
  • English proficiency at B2 level or higher.

Responsibilities

  • Contribute to the enterprise data platform strategy and roadmap.
  • Design and evolve a modern AWS native lakehouse architecture.
  • Establish scalable, reusable data platform patterns and standards.
  • Support migration from legacy data platforms and govern data products.
  • Develop data ingestion pipelines and transformation frameworks.
  • Ensure platform reliability, performance, and cost efficiency.

Skills

Data platform engineering
ETL/ELT pipelines
Data governance
Cloud architecture
Stakeholder collaboration

Tools

AWS S3
AWS Glue
AWS Lake Formation
AWS DataZone
IAM
Athena
Redshift

Job description

EPAM Systems, Inc. seeks a Senior Data Platform Engineer to define, build and operate the Enterprise Data Platform (EDP), a centralized, scalable data foundation enabling enterprise analytics.

You will help shape the data platform strategy and design a modern AWS-native lakehouse with governance across domains. You will implement reusable patterns, migrate from legacy systems, and optimize costs while ensuring reliability and security.

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