[Remote] Senior Data Platform Engineer
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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