Data Architect

Responsibilities

• Configure, manage, and support Amazon SageMaker Unified Studio (SMUS), including data catalog, blueprints, and serverless compute capabilities
• Enable self-service data discovery, exploration, and analysis for business and technical users through SMUS
• Design and maintain SMUS blueprints and templates for repeatable, governed data workflows, while managing IAM domains, access policies, and governance configurations
• Architect and maintain the customer's data foundation on AWS, ensuring scalability, governance, and performance
• Design and optimize data lake architectures using Amazon S3, including modern storage formats (Parquet, Iceberg, Delta), and implement data cataloging, partitioning, and lifecycle management strategies for large-scale environments
• Integrate Amazon OpenSearch Service for search, analytics, and data exploration use cases
• Build and optimize serverless data pipelines using AWS Glue and AWS Lambda, including ETL/ELT jobs for data ingestion, transformation, and delivery
• Ensure pipeline reliability, monitoring, and error handling using AWS-native tooling such as CloudWatch, Glue job metrics, and S3 analytics
• Support the integration and delivery of Quick Suite (QuickSight / QuickSight Q) for analytics, dashboards, and self-service reporting
• Integrate agentic AI services to support intelligent data rendering, automated insights, and data-driven decision-making, collaborating with AI/ML teams to connect agentic workflows with the data foundation

Languages