Senior Data Platform Engineer

EPAM Systems; Colombia; A distancia; COP 90.000.000 - 150.000.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. seeks a Senior Data Platform Engineer to define, build and operate the Enterprise Data Platform (EDP), a centralized, scalable data foundation enabling enterprise analytics.

You will help shape the data platform strategy and design a modern AWS-native lakehouse with governance across domains. You will implement reusable patterns, migrate from legacy systems, and optimize costs while ensuring reliability and security.

Formación

• 3+ years of experience in data engineering, data platforms, or related fields.
• 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.

Responsabilidades

• 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 data platforms and govern data products.
• Develop data ingestion pipelines and transformation frameworks.
• Ensure platform reliability, performance, and cost efficiency.

Conocimientos

Data platform engineering

ETL/ELT pipelines

Data governance

Cloud architecture

Stakeholder collaboration

Herramientas

AWS S3

AWS Glue

AWS Lake Formation

AWS DataZone

IAM

Athena

Redshift

Descripción del empleo

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.ResponsibilitiesContribute to the enterprise data platform strategy and roadmapDesign and evolve a modern AWS native lakehouse architectureEstablish scalable, reusable data platform patterns and standardsSupport migration from legacy Microsoft based data platformsApply and refine the federated data operating model, including domain responsibilities and data product standardsSupport delivery and ongoing operation of the data platformDevelop 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 controlsSupport tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processingRequirements3+ years of experience in data engineering, data platforms, or related fieldsHands-on expertise in AWS data ecosystem services such as S3, Glue, and Lake FormationProficiency in AWS DataZone, IAM, and query engines such as Athena or RedshiftExperience designing and implementing lakehouse or modern data platform architecturesExpertise in data ingestion, ETL/ELT pipelines, and orchestration frameworksUnderstanding of data governance, security, and access control modelsExperience with enterprise data cataloging and metadata managementEnglish proficiency at B2 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.