Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a Senior Data Platform Engineer to define, build, and operate a governed, scalable enterprise data lakehouse on AWS. The role will set platform strategy, lead architecture and delivery, oversee data ingestion and governance, ensure operational reliability and cost efficiency, and mentor a team while aligning stakeholders across domains.

Responsibilities

• Define the enterprise data platform vision, strategy, and multi-phase roadmap
• Design and evolve an AWS-native lakehouse architecture for secure, scalable analytics
• Drive migration from Microsoft-centric data platforms to the target AWS lakehouse
• Establish reusable platform standards, reference architectures, and engineering best practices
• Own end-to-end delivery and ongoing operation of the data platform capabilities
• Build and oversee ingestion and transformation frameworks to onboard trusted data products
• Implement governance, metadata management, and discoverability using Amazon DataZone and catalog integration
• Enforce fine-grained access controls and policy-based security with AWS Lake Formation
• Ensure platform reliability, performance, and scalability through monitoring and operational controls
• Optimize cost efficiency across storage, compute, and data processing workloads
• Lead technology and tooling decisions across batch and real-time processing patterns
• Enable self-service data access and coordinate alignment across architecture, security, and analytics stakeholders
• Mentor and grow a team, setting quality frameworks and fostering continuous improvement
• Act as the escalation point for platform decisions and cross-domain delivery trade-offs

Skills

• 3+ years of data engineering or data platform experience
• Strong AWS data ecosystem experience with Glue, Lake Formation, DataZone, and IAM
• Strong lakehouse architecture experience on AWS
• Advanced ETL/ELT pipeline expertise and orchestration framework knowledge
• Strong data governance knowledge including security and access control models
• Professional English proficiency (B2, Upper-Intermediate)
• Agentic Delivery Methodology experience for planning and execution
• Analytics & Data Assessment expertise to shape data product prioritization
• Apache Spark experience for large-scale processing
• Microsoft Power BI enablement experience for BI interoperability
• Microsoft SQL Server Integration Services familiarity for legacy migration planning

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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