Senior Data Architect, Scientific Data Platform
Core
Design and own the discovery and access architecture for a scientific data platform, enabling products, customer workflows, and AI agents to find and use data from Agilent instruments.
Role type
Senior IC data architect (scientific data platform)
Builds
Federated GraphQL gateway, data catalog, search indexes, and access-controlled data service views for scientific results, methods, and samples.
Domain
Life sciences / Scientific data / Distributed systems
Deliverable
production ML models | product features | dashboards & analysis
Required skills
distributed systems architecture, service boundaries, API design, event-driven integration, data catalog design, search indexing, SQL (PostgreSQL/SQL Server), data pipeline design, proof of concept development, AI tool usage
Preferred skills
data product delivery, laboratory informatics, regulated life sciences, architecture decision records, cloud integration patterns
Technologies
.NET (C#), Angular, GraphQL, PostgreSQL, Oracle, SQL Server, RabbitMQ, Kubernetes, Helm, S3, Allotrope
Responsibilities
Define target state for catalog and access paths including service boundaries and integration patterns; design schemas and contracts for catalog records and data service views; design access paths for AI agents; review and modify integration contracts; design modernization paths for legacy on-premises to hybrid/cloud sources; set query and index performance targets; design data pipelines for catalog and search index updates; collaborate with engineering to clarify designs and review delivered work; document architecture decisions and explain tradeoffs.
Seniority
Senior, hands-on IC
