Senior Data Platform Architect for AI-Driven Analytics

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

Job summary

Amazon.com Services LLC is seeking a Senior Data Engineer to own ProServe's governed data platform and agentic infrastructure, spanning a multi-tier data warehouse, graph knowledge layer, and MCP interfaces for production data systems. You will lead platform standards and drive data engineering roadmap decisions.

The ideal candidate will think in systems, owning data architectures and ensuring production-scale platforms are trustworthy, observable, and self-improving, with leadership across the

Qualifications

• 5+ years of data engineering experience.
• Experience with modern scripting languages (Python, Java, Scala, or NodeJS).
• Experience with data warehouse architectures, data modeling, ETL/ELT, and reporting environments.
• Experience providing technical leadership and mentoring engineers.

Responsibilities

• Own architecture and governance of ProServe's data warehouse platform at production scale.
• Lead canonical data set design and ensure reusable data objects across analytics, ML, and agentic workflows.
• Build secure, efficient data pipelines with monitoring, runbooks, and SLAs; support on-call rotations.

Skills

Data engineering

Data warehouse

Scripting languages

Data modeling

Mentorship

Tools

Amazon Redshift

Graph databases

Amazon Neptune

Neo4j

Job description

Amazon.com Services LLC is seeking a Senior Data Engineer to own ProServe's governed data platform and agentic infrastructure, spanning a multi-tier data warehouse, graph knowledge layer, and MCP interfaces for production data systems. You will lead platform standards and drive data engineering roadmap decisions.

The ideal candidate will think in systems, owning data architectures and ensuring production-scale platforms are trustworthy, observable, and self-improving, with leadership across the