Senior Data Platform Engineer

We are seeking a Senior Data Platform Engineer to help define, build, and operate the Enterprise Data Platform (EDP), a centralized, governed, and scalable data foundation that enables enterprise analytics and accelerates insight delivery. This role contributes to the end-to-end data platform capability as a strategic enterprise asset, supporting the design and execution of a modern AWS native lakehouse platform while applying strong technical expertise and collaborating within a federated data model that supports domain ownership and centralized governance.

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 Microsoft based data platforms
• Apply and refine the federated data operating model, including domain responsibilities and data product standards
• Support delivery and ongoing operation of the data platform
• Develop 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
• Support tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processing

Requirements

• 3+ years of experience in data engineering, data platforms, or related fields
• Hands-on expertise in AWS data ecosystem services such as S3, Glue, and Lake Formation
• Proficiency in AWS DataZone, IAM, and query engines such as Athena or Redshift
• 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

Nice to have

• Experience migrating from Microsoft-centric data platforms such as SQL Server, SSIS, and Azure
• Familiarity with domain-oriented or data mesh operating models
• Experience supporting analytics tools such as Power BI
• Knowledge of data sharing and cross-domain data product models
• Exposure to agentic AI capabilities and data access patterns for AI workloads

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