Resident Data Architect - SageMaker Unified Studio, Data Foundation

Job 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