Agilent seeks a Senior Data Architect to design the discovery and access layers of a scientific data platform serving pharmaceutical, food, and environmental testing markets. The role involves defining catalog and access path architecture, owning schemas and contracts, and collaborating with engineering teams to implement federated GraphQL-based data services.

Responsibilities

Define target state architecture for catalog and access paths with service boundaries, contracts, and integration patterns
Own and version schemas for catalog records, GraphQL subgraph boundaries, and data service views
Design access controls and provenance tracking for AI agent data consumption
Establish query performance targets and design pipelines to maintain catalog and search index currency
Collaborate directly with engineering teams to clarify designs, review implementation plans, and document decisions

Requirements

8+ years in software engineering, data engineering, or architecture with distributed systems experience
Proven track record defining architecture ahead of finalized standards and governance
Production system architecture ownership in data catalogs, search indexing, federated APIs, or scientific data layers
SQL proficiency with PostgreSQL or SQL Server, including execution plan analysis
Experience building and operating data pipelines with recovery and backfill capabilities
Code reading ability in typed languages (C#, Java, TypeScript) and proof-of-concept development
Daily use of AI tools in architecture and data work with demonstrated processes for delegation and verification

Senior Data Architect, Scientific Data Platform

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