Lead Data Platform Engineer

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.ResponsibilitiesContribute to the enterprise data platform strategy and roadmapArchitect and evolve a modern AWS native lakehouse architectureDefine scalable, reusable data platform patterns and standardsAssist migration from legacy Microsoft based data platformsApply and improve the federated data operating model, including domain responsibilities and data product standardsEnable delivery and ongoing operation of the data platformBuild data ingestion pipelines and transformation frameworksEnsure platform reliability, performance, and scalabilityImplement monitoring, observability, and operational controlsOptimize platform cost efficiency across storage, compute, and data processing workloadsApply and enforce data governance standards, policies, and controlsGuide tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processingRequirementsProven background with 5+ years of experience in data engineering, data platforms, or related fieldsHands-on experience with AWS data ecosystem services such as S3, Glue, and Lake FormationWorking knowledge of Amazon DataZone, IAM, and query engines such as Athena or RedshiftDemonstrated expertise designing and implementing lakehouse or modern data platform architecturesPractical experience building data ingestion, ETL/ELT pipelines, and orchestration frameworksStrong understanding of data governance, security, and access control modelsSolid exposure to enterprise data cataloging and metadata managementEnglish proficiency at B2 (Upper-Intermediate) level or higherNice to haveExperience migrating from Microsoft-centric data platforms such as SQL Server, SSIS, and AzureFamiliarity with domain-oriented or data mesh operating modelsExperience supporting analytics tools such as Power BIKnowledge of data sharing and cross-domain data product modelsExposure to agentic AI capabilities and data access patterns for AI workloadsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.
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