Lead Data Platform Engineer

EPAM Systems; Colombia; On-site; COP 120,000,000 - 240,000,000; Full time

Benefits offered by this job

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certificate

LinkedIn Learning access

Global career opportunities

Volunteer and community involvement

EPAM Employee Groups

Award-winning culture

Job summary

EPAM Systems seeks a Lead Data Platform Engineer to build and run an enterprise AWS-native lakehouse platform powering governed analytics through a centralized Enterprise Data Platform. 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.

You will define scalable patterns, build ingestion pipelines, and collaborate with multi-national

Qualifications

• 5+ years in data engineering or related fields.
• Hands-on with AWS data ecosystem: S3, Glue, Lake Formation.
• Experience designing lakehouse architectures.
• ETL/ELT pipelines and orchestration experience.
• Data governance, security, and access controls.
• Proficient in English (B2 or higher).

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

Skills

Data engineering

Data platforms

AWS data services

Lakehouse architectures

ETL/ELT pipelines

Data governance

Security & access control

Metadata management

English proficiency

Tools

AWS S3

AWS Glue

Lake Formation

Athena

Redshift

IAM

Power BI

Job description

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.