Resident Data Architect - SageMaker Unified Studio, Data Foundation)

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 seeking a **Resident Data Architect** to support Amazon SageMaker Unified Studio and the broader data foundation for a long-term engagement, focusing on serverless data pipelines, modern data lake architectures and agentic AI integration aligned with AWS cloud-native best practices. **Responsibilities** - Configure, manage and support Amazon SageMaker Unified Studio, including data catalog, blueprints and serverless compute capabilities - Enable self-service data discovery, exploration and analysis for business and technical users through SMUS - Maintain SMUS blueprints and templates for repeatable, governed data workflows - Oversee SMUS IAM domains, access policies and governance configurations - Architect the customer's data foundation on AWS to ensure scalability, governance and performance - Optimize data lake architectures using Amazon S3, including modern storage formats such as Parquet, Iceberg and Delta - Implement data cataloging, partitioning and lifecycle management strategies for large-scale data environments - Integrate Amazon OpenSearch Service for search, analytics and data exploration use cases - Build serverless data pipelines using AWS Glue and AWS Lambda - Develop ETL/ELT jobs for data ingestion, transformation and delivery across the data platform - Support the integration and delivery of Quick Suite for analytics, dashboards and self-service reporting - Apply AWS Well-Architected Framework principles with emphasis on security, reliability, performance efficiency and cost optimization **Requirements** - 8+ years of experience in data architecture, engineering or a related field within AWS cloud environments - Expertise in Amazon SageMaker Unified Studio, AWS Glue and data lake architecture - Proficiency in Amazon S3 including modern storage formats such as Parquet, Iceberg and Delta - Skills in AWS Lambda for serverless data compute workflows - Background in Amazon OpenSearch Service for search, analytics and data exploration - Understanding of data foundation architecture including catalog, governance and self-service enablement - English proficiency at B2 level or higher **Nice to have** - Familiarity with Quick Suite / Amazon QuickSight for analytics and dashboards - Knowledge of agentic AI services such as Bedrock Agents and AgentCore - Familiarity with Amazon Lake Formation - Skills in infrastructure as code using CDK or Terraform - Proficiency in Python **We offer** - Opportunity to work on technical challenges that may impact across geographies - Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications - Opportunity to share your ideas on international platforms - Sponsored Tech Talks & Hackathons - Unlimited access to LinkedIn learning solutions - Possibility to relocate to any EPAM office for short and long-term projects - Focused individual development - Benefit package: - Health benefits - Retirement benefits - Paid time off - Flexible benefits - Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)