Senior Data Platform Engineer

EPAM Systems; Chile; On-site; CLP 40,000,000 - 70,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification

Global career opportunities

LinkedIn Learning access

Job summary

EPAM Systems seeks a Senior Data Platform Engineer to define, build, and operate the Enterprise Data Platform (EDP), a scalable, governed data foundation for analytics. You will help shape an AWS native lakehouse, promote domain ownership, and enforce centralized governance across the federation.

You will design patterns, support migration from legacy platforms, and ensure reliability, performance, and cost efficiency while collaborating with global teams and standards-based architecture.

Qualifications

• 3+ years of experience in data engineering, data platforms, or related fields.
• Hands-on experience with AWS data ecosystem services (S3, Glue, Lake Formation).
• Proficiency in AWS DataZone, IAM, and query engines like Athena/Redshift.
• Experience designing 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.

Responsibilities

• Contribute to 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 the federated data operating model with 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.

Skills

English proficiency

Data modeling

Problem solving

Team collaboration

Education

Bachelor's degree in CS/DS

Tools

S3

Glue

Lake Formation

Athena

Redshift

IAM

Data Zone

Job description

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.