Resident Data Architect - SageMaker Unified Studio, Data Foundation

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