Back to SearchResident Data Architect - SageMaker Unified Studio, Data Foundation
Office in India: Gurugram, & 5 others
Data Solution Architecture& 6 others
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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