AWS Data Architect with AI (Only W2)

Position- Data Engineer (AWS cloud data & AI ecosystem) Location- Torrance, CA Onsite Job Description Key Responsibilities Overall experience of 8+ years in data warehousing and/or data products implementations with 4+ years in AWS cloud data & AI ecosystemMust have: Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent).Must have: Hands-on Experience in Agentic AI leveraging A2A and MCP frameworks, AI/ML frameworks(Kiro, Claude, LangGraph), AI led design using

Overall experience of 10+ years in data warehousing and/or data products implementations with 4+ years in AWS cloud Data & AI ecosystemMust have: Experience in architecting solutions in data and AI intensive landscape including data products architecture, modernization, and data governance.Must have: Strong experience with distributed data processing (AWS DMS, Glue, Spark EMR, RedShift).Must have: Hands-on Experience in Agentic AI leveraging A2A and MCP frameworks, AI/ML frameworks(Kiro, Claude,

Role - Data Architect with AWS and AI/ML Location - Torrance, CA JD - Enterprise Data and AI Architect to drive the Data and AI initiatives from ideation , design and deployment. Key Responsibilities: AI/ML Strategy: Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics. AWS Cloud Governance: Act as the lead architect for AWS environments, ensuring best practices in

Role: AWS Data Architect Location: Torrance CA Onsite-4 days a week Duration: Long Term Key Responsibilities Data Architecture Design: Architect and implement a scalable data hub solution on AWS using best practices for data ingestion, transformation, storage, and access control. Define data models, data lineage, and data quality standards for the Datahub. Select appropriate AWS services (S3, Glue, Redshift, Athena, Lambda) based on data volume, access patterns, and performance requirements.