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