Company
DataArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Architect. Skills: Data modeling, Metadata architecture, Semantic standards. Define, evolve, and socialize FAIR-aligned canonical data models. Own semantic interoperability strategies”
What You'll Achieve.
Adoption and reuse of canonical data and metadata models; Measurable improvements in FAIR maturity; Reduction in bespoke schemas and one-off semantic mappings; Improved time-to-reuse for datasets; Positive feedback on clarity and usability of standards
What They're Looking For.
Must Have
BS+8 / MS+6 / PhD in CS, Data, Engineering, or scientific disciplines, Demonstrated experience designing enterprise-scale data models and standards, Experience working with scientific or research data domains
Nice to Have
Experience with FAIR, research data management, semantic modeling, or ontology-adjacent work, Familiarity with metadata catalogs, lineage systems, and data governance frameworks, Evidence of standard-setting and cross-organizational influence
What You'll Do.
and socialize FAIR-aligned canonical data models
Own semantic interoperability strategies
Establish architectural patterns for data products
Define standards for versioning
Partner with data governance
and scientific domain leads
Lead architectural review and decision forums
Define and track FAIR maturity indicators
Translate scientific and research workflows into durable abstractions
Provide architectural guidance to data engineering teams
Influence tooling and platform capabilities
Mentor engineers and technical leads
Act as a thought leader for FAIR data architecture
Communicate architectural intent clearly
How You'll Work.
Team & Collaboration
Partnering with engineering teams; Partners with GCF5/6 Data Engineering and Platform Leads; Works closely with scientific domain leads, stewards, and governance bodies; Interfaces with architecture, security, compliance, and vendor ecosystems
Communication Scope
Written communication; Verbal communication
Full Job Description
## **Career Category** Engineering ## ## **Job Description** ## **Position Overview** The **GCF5 Senior Data Architect** is the senior technical authority for **data standards, semantics, and FAIR-aligned data architecture** within the Enterprise Data Foundation (EDF) / Common Data Model (CDM) pillar. This role defines and evolves canonical data models, metadata standards, identifiers, and interoperability patterns that enable **FAIR, reusable, and AI‑ready data products** across research and platform domains. The Data Architect ensures that FAIR principles are embedded **by design** across data lifecycles, while partnering with engineering teams to enable scalable and consistent implementation. This role **does not primarily own pipeline delivery** , but instead owns the architectural decisions that make pipelines reusable, intelligible, and durable over time. The role reports to the GCF7 leader and partners closely with peer GCF5 domain and platform leads across SCIP to ensure cohesive semantic and architectural evolution. ## **Core Responsibilities** ### **Data Architecture & FAIR Standards** * Define, evolve, and socialize **FAIR‑aligned canonical data models** , metadata schemas, identifiers, and naming conventions across domains. * Own **semantic interoperability** strategies, including controlled vocabularies, reference data, and domain model alignment. * Establish architectural patterns that ensure data products are **Findable, Accessible, Interoperable, and Reusable by default**. * Define standards for **versioning, provenance, lineage, and reuse contracts** across the data lifecycle. ### **Governance & Adoption** * Partner with data governance, stewardship, and scientific domain leads to ensure standards are **usable, adopted, and evolve pragmatically**. * Lead architectural review and decision forums for schema, model, and standards changes. * Define and track FAIR maturity indicators (e.g., metadata completeness, reuse readiness, interoperability coverag
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