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Agilent Technologies
Spain-Barcelona; US-CA-Santa Clara; US-DE-Wilmington
Source: Agilent Technologies careers · View original posting
From Agilent Technologies's posting. “We” and “our” refer to the employer.
Job Description
Agilent instruments produce the measurements behind pharmaceutical quality control, food and environmental testing, and research labs worldwide. That data sits in dozens of software products, and we are building a platform that lets our products, our customers' workflows, and AI agents find and use it wherever it lives.
We are hiring a data architect to own the discovery and access side of that platform: how scientific data is registered and found, and how it is composed and served. The platform architecture is established; the target state for discovery and access, and the path to it, are yours to define.
You work under the Lead Data Architect, who owns cross-service standards and governance. Within your areas, the architecture decisions are yours; cross-service decisions go to the Lead with evidence, options, and a recommendation.
This is an architecture role with hands-on evidence: you decide the architecture for your areas, stay with engineering through implementation, and read the code, run the queries, and build the proof of concept when an argument needs one.
Data access. Your part of the federated GraphQL gateway, which the platform team owns how connected systems are represented on it, directly or through data services; the read layer that composes results across systems; and the application data services that expose access-controlled views of scientific data to products, workflows, and AI consumers.
Catalog and search. The catalog record model, how connected systems register their data and how that metadata is represented, search over it, and the path to richer indexes like vector and graph.
Access is the first-year priority; catalog work runs alongside as the first connectors land. File management, metadata extraction, and semantic standards are owned by other architects on the team. The data is scientific data created by software products: results, methods, samples, files. ERP, CRM, and other enterprise business systems are out of scope.
Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations
25% of the Time
Day
No End Date
R&D
Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
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