Senior Data Engineer: Enterprise AI Platform Lead

Amazon Web Services (AWS); Dallas (TX); On-site; USD 155,000 - 209,000; Full time

Job summary

Amazon.com Services LLC in Dallas, Texas is seeking a Senior Data Engineer to own ProServe's governed data platform and AI-ready data infrastructure. You will shape the internal data warehouse, create canonical datasets, and drive platform standards across the team to support analytics, ML, and agentic workflows.

We expect leadership in data engineering, strong SQL, and experience with graph data layers and MCP interfaces to power production AI agents.

Qualifications

• 5+ years of data engineering experience.
• Experience with Python, Java, Scala or NodeJS.
• Experience with MPP databases such as Amazon Redshift.
• Experience providing technical leadership and mentoring engineers.
• Experience in data warehouse architectures, data modeling, ETL/ELT, and SQL.

Responsibilities

• Own architecture and governance of ProServe's data warehouse platform.
• Lead canonical data sets and metadata standards for analytics and ML.
• Build secure, scalable data pipelines with monitoring and SLA tracking.
• Develop MCP layer for AI agents to access production data.
• Design graph-based knowledge layer for semantic data traversal.

Skills

Data engineering experience

Programming languages (Python/Java/SC/

Tools

Amazon Redshift

Amazon Neptune / Neo4j

Job description

Amazon.com Services LLC in Dallas, Texas is seeking a Senior Data Engineer to own ProServe's governed data platform and AI-ready data infrastructure. You will shape the internal data warehouse, create canonical datasets, and drive platform standards across the team to support analytics, ML, and agentic workflows.

We expect leadership in data engineering, strong SQL, and experience with graph data layers and MCP interfaces to power production AI agents.