Lead 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 looking for a Lead Data Platform Engineer to build and run an enterprise AWS native lakehouse platform that powers governed analytics through a centralized Enterprise Data Platform (EDP). In this role, you will shape platform patterns, enable domain-owned data products with centralized governance, and guide migration from Microsoft-based platforms while improving reliability, observability, and cost.
Responsibilities
Contribute to the enterprise data platform strategy and roadmap
Architect and evolve a modern AWS native lakehouse architecture
Define scalable, reusable data platform patterns and standards
Assist migration from legacy Microsoft based data platforms
Apply and improve the federated data operating model, including domain responsibilities and data product standards
Enable delivery and ongoing operation of the data platform
Build 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
Guide tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processing
Requirements
Proven background with 5+ years of experience in data engineering, data platforms, or related fields
Hands-on experience with AWS data ecosystem services such as S3, Glue, and Lake Formation
Working knowledge of Amazon DataZone, IAM, and query engines such as Athena or Redshift
Demonstrated expertise designing and implementing lakehouse or modern data platform architectures
Practical experience building data ingestion, ETL/ELT pipelines, and orchestration frameworks
Strong understanding of data governance, security, and access control models
Solid exposure to enterprise data cataloging and metadata management
English proficiency at B2 (Upper-Intermediate) 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