[Hiring] Chief Data Engineer @EPAM

Role Description

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.

• 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

Qualifications

• 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)

Requirements

• Data semantics and ontology design experience (Nice to have)
• Hands-on experience with AWS Glue (Nice to have)
• Hands-on experience with Amazon Athena (Nice to have)
• Hands-on experience with AWS Lake Formation (Nice to have)