Senior Data Architect, Scientific Data Platform
Agilent Technologies2 months ago
Barcelona, Spain or Santa Clara, CA, USASenior
Responsibilities
- Define current and target-state architecture for scientific data catalog and access paths, including service boundaries, contracts, integration patterns, and migration plans.
- Own catalog records, federated subgraph boundaries, data-service views, and versioned event schemas, including system-of-record decisions and backward compatibility.
- Design access paths for AI agents with appropriate controls and provenance.
- Design catalog, search, and access pipelines covering extraction, backfill, recovery, indexing, and data-service freshness.
- Set query and index performance targets and design modernization paths from legacy on-premises systems to hybrid or cloud deployments.
- Review integrations and engineering implementation plans against architecture contracts and program requirements.
- Work directly with engineering through implementation by clarifying designs, reviewing code and delivered work, and building proofs of concept when needed.
- Create architecture decision records and diagrams and explain technical tradeoffs to engineering, product, and business stakeholders.
Requirements
- 8+ years of experience in software engineering, data engineering, or architecture involving distributed systems, service boundaries, APIs, and event-driven integration.
- Experience defining architecture ahead of finalized standards and governance, with evidence of decisions that succeeded or changed.
- Production architecture ownership in data catalogs or metadata management, search and indexing, API or federated-query access layers, or scientific, laboratory, or regulated applications.
- Ability to write SQL and read execution plans in PostgreSQL or SQL Server.
- Experience building and operating data pipelines, including recovery and backfill.
- Ability to read production code in a typed language such as C#, Java, or TypeScript and build a proof of concept.
- Daily use of AI tools for architecture and data work, including profiling and cleaning data, reading and generating code, and drafting decision records, with the ability to explain verification practices.
- Ability to work across product, engineering, and business teams without direct authority.
- Preferred: experience delivering APIs, views, or datasets consumed by applications; broader catalog, search, and data-access knowledge; laboratory informatics or regulated life-sciences experience; architecture decision records, C4 or similar diagrams, and interface contracts; and cloud integration patterns across identity, storage, messaging, managed data services, and on-premises deployment.
Benefits
- Full-time weekly schedule with the option to work remotely.
- Day shift with 25% travel required.
- No end date; permanent role.
- Pay and benefit information varies by country and location, with specific pay-range details available from a recruiter during hiring.
- Equal opportunity employer.
Tech Stack
AngularC#ElasticsearchGraphQLHelmJavaKubernetesMicrosoft SQL Server.NETPostgreSQLRabbitMQTypeScriptWindows
Categories
BackendData Engineering
About Agilent Technologies
Agilent Technologies builds analytical instruments, lab software, diagnostic and genomics solutions, plus consumables and services used by pharmaceutical, chemical, environmental, and clinical labs. It sells systems such as chromatography and mass spectrometry platforms, pathology and molecular diagnostic kits, and supports lab operations through its CrossLab services business. Founded in 1999 and headquartered in Santa Clara, California, Agilent is a public company listed on the NYSE (ticker: A) with global manufacturing and R&D sites.