Data Architect (Metadata, Governance, Semantics)

A strategic data initiative for a leading global investment management company leveraging AI, Machine Learning, and advanced analytics to drive business decisions.

• 8+ years of experience in Data Architecture or Data Platform roles.
• 3+ years of experience in Metadata Management, Data Governance, or Data Cataloging.
• Hands-on experience with enterprise data catalog solutions such as DataHub, OpenMetadata, Collibra, or similar platforms.
• Strong understanding of Metadata Management, Data Lineage, Data Discovery, Data Quality, Entity Resolution.
• Experience designing federated (hub-and-spoke) metadata architectures.
• Knowledge of semantic modeling, business glossaries, and knowledge graphs.
• Strong stakeholder management and consulting skills.
• Ability to create and present architecture documentation to senior stakeholders.

Nice to have:

• Experience in Financial Services, Asset Management, or Market Data domains.
• Knowledge of FIBO or other financial ontologies.
• Experience with OpenLineage or Open Data Contract Standard.
• Familiarity with semantic search and embeddings-based discovery.
• Experience building AI-ready data foundations.
• Experience working in highly regulated environments.

• Design and own enterprise metadata and data discovery architectures.
• Define metadata management and data governance strategies.
• Build federated metadata architectures across multiple business domains.
• Design semantic layers, business glossaries, and knowledge graphs.
• Establish metadata quality standards and governance processes.
• Lead architecture workshops with business and technical stakeholders.
• Act as a design authority and provide architectural guidance to engineering teams.
• Create architecture documentation and support strategic data and AI initiatives.

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