Senior Data Architect for Governed AI Data Platform

Amazon Web Services, Inc.; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Senior Data Engineer to own the governed data platform and agentic infrastructure that powers operational intelligence for ProServe.

You will architect multi-tier data warehouses, design a graph-based knowledge layer, implement MCP interfaces, and lead platform standards across the data engineering team, ensuring production-grade, secure, observable data products. This role requires systems thinking, hands‑on implementation, and mentorship of engineers

Responsibilities

• Data Platform Architecture and Governance: Own the architecture and evolution of ProServe's internal data warehouse platform, including cluster topology, workload isolation, access control design, and migration sequencing at production scale. Define and enforce the architectural standards, data contracts, and quality gates that govern how data flows from source systems into analytics and AI consumption layers.
• Foundational Data Buildout: Lead the design and buildout of canonical datasets across ProServe's core business domains. Establish common definitions, governed relationships, metadata standards, and reusable data objects that serve analytics, ML, and agentic workflows from a single source.
• Pipeline Engineering and Operational Excellence: Build secure, efficient, privacy-compliant data pipelines optimized for analytics, ML, and agent consumption. Own monitoring, alarming, runbooks, and SLA tracking for production data infrastructure. Lead on-call rotation and drive operational health reviews across the team.
• Agentic Data Infrastructure: Build and maintain the data interfaces, including a Model Context Protocol (MCP) layer over production data systems, that enable large language models and AI agents to retrieve accurate, role-appropriate business context. Ensure these interfaces are production-grade: governed, observable, and backed by SLA-tracked refresh pipelines.
• Graph-Based Knowledge Layer: Design and build a graph-based knowledge layer (Amazon Neptune Analytics or equivalent) that enables consistent, semantic data traversal across ProServe's core business objects, supporting self-service workflows and agentic retrieval patterns that require relational context beyond what tabular data surfaces.
• Technical Leadership and Mentorship: Define data engineering best practices for the team, including data discovery, naming conventions, access security, and documentation standards. Lead design reviews across your own and adjacent team architectures. Mentor junior engineers, provide input on technical development and promotions, and build alignment across discordant architectural positions.

Job description

Amazon Web Services, Inc. is seeking a Senior Data Engineer to own the governed data platform and agentic infrastructure that powers operational intelligence for ProServe.

You will architect multi-tier data warehouses, design a graph-based knowledge layer, implement MCP interfaces, and lead platform standards across the data engineering team, ensuring production-grade, secure, observable data products. This role requires systems thinking, hands‑on implementation, and mentorship of engineers