Senior Data Platform Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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
We offer
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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

Work arrangement
Yes