Resident Data Architect - SageMaker Unified Studio, Data Foundation

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 benefits

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