Resident Data Architect - SageMaker Unified Studio, Data Foundation

EPAM · Gurgaon

Source and collection record

Last observed by our collector: 8 October 2026 at 11:23 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: bltzzqc08a9giajxqjj

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Collected role description

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

Collected experience requirement

8+ years