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 up-to-date 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

Location - Hyderabad, Bangalore, Pune, Gurgaon, Chennai, Coimbatore

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