Description

Architect data and AI solutions on AWS, focusing on data warehousing, modernization, and governance.

You will own the design and implementation of scalable data products and AI-intensive landscapes.

Responsibilities

• Architect data solutions using AWS DMS, Glue, Spark EMR, and RedShift.
• Design data products, modernization strategies, and governance frameworks.
• Implement Agentic AI using A2A and MCP frameworks.
• Develop AI/ML workflows with Kiro, Claude, and LangGraph.
• Maintain proficiency in Python, PySpark, and SQL.

Required Skills

• 10+ years in data warehousing and data products implementation.
• 4+ years in AWS cloud Data & AI ecosystem.
• Hands-on experience with distributed data processing (AWS DMS, Glue, Spark EMR, RedShift).
• Experience with Agentic AI leveraging A2A and MCP frameworks.
• Proficiency in Python, PySpark, and SQL.
• Familiarity with Iceberg tables is preferred.

Preferred Skills

• Knowledge of autonomous agents and orchestration trends.
• Strong problem-solving and communication skills.

Key Skills

Education

Any Gradute