Data Architect

EPAM Systems

Remote · ArmeniaSalary not disclosedcontractVerified recentlyEPAM Systems Careers

We are seeking a Staff Consultant to serve as a long-term, full-time resident Data Architect supporting our customer's data foundation. This role focuses on enabling and operating Amazon SageMaker Unified Studio, building and optimizing serverless data pipelines, managing modern data lake storage formats, and integrating agentic AI services to support data rendering and analytics.

Responsibilities

Configure, manage, and support Amazon SageMaker Unified Studio (SMUS), including data catalog, blueprints, and serverless compute capabilities Enable self-service data discovery, exploration, and analysis for business and technical users through SMUS
Design and maintain SMUS blueprints and templates for repeatable, governed data workflows, while managing IAM domains, access policies, and governance configurations Architect and maintain the customer's data foundation on AWS, ensuring scalability, governance, and performance
Design and optimize data lake architectures using Amazon S3, including modern storage formats (Parquet, Iceberg, Delta), and implement data cataloging, partitioning, and lifecycle management strategies for large-scale environments Integrate Amazon OpenSearch Service for search, analytics, and data exploration use cases
Build and optimize serverless data pipelines using AWS Glue and AWS Lambda, including ETL/ELT jobs for data ingestion, transformation, and delivery Ensure pipeline reliability, monitoring, and error handling using AWS-native tooling such as CloudWatch, Glue job metrics, and S3 analytics
Support the integration and delivery of Quick Suite (QuickSight / QuickSight Q) for analytics, dashboards, and self-service reporting Integrate agentic AI services to support intelligent data rendering, automated insights, and data-driven decision-making, collaborating with AI/ML teams to connect agentic workflows with…

Languages

Work format: Remote
Seniority: Senior
Posted: 27 Jul 2026 (1mo ago)
Last verified: 28 Aug 2026

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Responsibilities

Configure, manage, and support Amazon SageMaker Unified Studio (SMUS), including data catalog, blueprints, and serverless compute capabilities Enable self-service data discovery, exploration, and analysis for business and technical users through SMUS

Design and maintain SMUS blueprints and templates for repeatable, governed data workflows, while managing IAM domains, access policies, and governance configurations Architect and maintain the customer's data foundation on AWS, ensuring scalability, governance, and performance

Design and optimize data lake architectures using Amazon S3, including modern storage formats (Parquet, Iceberg, Delta), and implement data cataloging, partitioning, and lifecycle management strategies for large-scale environments Integrate Amazon OpenSearch Service for search, analytics, and data exploration use cases

Build and optimize serverless data pipelines using AWS Glue and AWS Lambda, including ETL/ELT jobs for data ingestion, transformation, and delivery Ensure pipeline reliability, monitoring, and error handling using AWS-native tooling such as CloudWatch, Glue job metrics, and S3 analytics

Support the integration and delivery of Quick Suite (QuickSight / QuickSight Q) for analytics, dashboards, and self-service reporting Integrate agentic AI services to support intelligent data rendering, automated insights, and data-driven decision-making, collaborating with AI/ML teams to connect agentic workflows with…