7 дней назад
Senior Data Architect, Scientific Data Platform
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect, Scientific Data Platform (GraphQL/PostgreSQL/AI): Defining and evolving the discovery and access architecture for scientific data across catalogs, federated GraphQL services, search indexes, and application data views with an accent on contracts, governance, provenance, and hybrid deployment. Focus on designing access paths for AI agents, building resilient catalog and search pipelines, modernizing legacy sources, and validating architecture through code, queries, and proofs of concept.
Location: Barcelona, Spain; remote work is available.
Company
develops scientific instruments and software supporting pharmaceutical quality control, food and environmental testing, and research laboratories worldwide.
What you will do
- Define the current and target architecture for scientific data discovery and access, including service boundaries, contracts, and integration patterns.
- Own catalog records, GraphQL subgraph boundaries, data service views, and versioned event schemas under data governance rules.
- Design controlled, provenance-aware access paths for AI agents and other software consumers.
- Design catalog, search, and access pipelines, including indexing, backfill, recovery, and data freshness targets.
- Modernize legacy data sources while supporting on-premises, hybrid, and cloud deployments.
- Work with engineering and stakeholders through implementation, architecture reviews, decision records, diagrams, and proofs of concept.
Requirements
- 8+ years of experience in software engineering, data engineering, or architecture involving distributed systems, service boundaries, APIs, and event-driven integration.
- Production architecture experience with data catalogs, search and indexing, API or federated-query access layers, or scientific, laboratory, or regulated applications.
- Strong SQL skills and the ability to read execution plans in PostgreSQL or SQL Server.
- Experience building and operating data pipelines, including recovery and backfill.
- Ability to read production code in C#, Java, TypeScript, or a similar typed language and build proofs of concept.
- Daily use of AI tools for architecture and data work, with the ability to explain how outputs are delegated and verified.
Nice to have
- Experience delivering APIs, views, or datasets consumed by other applications.
- Laboratory informatics or regulated life sciences experience, including data integrity and audit trail expectations.
- Experience with architecture decision records, C4 diagrams, interface contracts, and cloud integration patterns.
Culture & Benefits
- Full-time schedule with day-shift hours.
- Option to work remotely.
- Work across product, engineering, and business teams without direct authority.
- 25% travel required.
- Role has no specified end date.
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