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 and data lake architecture
- Proficiency in AWS Glue and AWS Lambda for serverless data compute workflows
- Skills in Amazon S3 including modern storage formats such as Parquet, Iceberg and Delta
- 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 advantages

- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

📌 Resident Data Architect - SageMaker Unified Studio, Data Foundation (India)
🏢 EPAM Systems
📍 India