We are seeking a Chief-level Data Engineer to shape data semantics, governance, and AI/ML integration within an AWS-based engagement. You will own key technical decisions, guide the data engineering workstream, and apply Amazon SageMaker and Agents to deliver outcomes—apply now.

Responsibilities Lead the data engineering workstream and own technical decisions end to end

Design data governance frameworks that support scalable, compliant data usage

Implement data governance processes and operating rhythms across stakeholders

Define data models, ontologies, and semantic layers for analytics and consumption

Leverage Amazon SageMaker Unified Studio to integrate AI/ML capabilities into data products

Build and configure AI Agents to enable intelligent workflows and assisted analytics

Support analytics platform architecture decisions aligned with AWS best practices

Coordinate with cross-functional teams to align requirements, priorities, and delivery

Validate solution quality through reviews, documentation, and practical enablement Requirements 7+ years of data engineering experience at expert level

2+ years of leadership experience leading data engineering workstreams





Proven project experience designing analytics platforms aligned with AWS best practices

Expert knowledge of Amazon SageMaker Unified Studio

Expert knowledge of AI Agents for AI/ML integration

Advanced knowledge of data governance and governance processes

AWS Certified Data Analytics – Specialty certification

Upper-Intermediate English proficiency (B2) Nice to have Data semantics and ontology design experience

Hands-on experience with AWS Glue

Hands-on experience with Amazon Athena

Hands-on experience with AWS Lake Formation 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

General career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Chief Data Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina