Data Architect (Metadata, Governance, Semantics)

Join a strategic data initiative for a leading global investment management company that leverages AI, Machine Learning, and advanced analytics to drive business decisions. You will be responsible for designing the data foundations that enable safe, scalable, and effective AI adoption across a highly regulated enterprise environment.

What You Will Do

• 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.

Requirements

• 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 Open

Lineage 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.

Tech Stack & Areas of Expertise

• Data Architecture
• Metadata Management
• Data Governance
• Data Catalogs
• DataHub
• OpenMetadata
• Collibra
• Open

Lineage

• Knowledge Graphs
• Semantic Modeling
• Data Discovery
• Data Lineage
• Enterprise Data Platforms
• AI Foundations

Why Join Us?

• Work on enterprise-scale AI and Data Governance initiatives.
• Shape the future of AI-ready data platforms.
• Influence architecture decisions across large, complex data ecosystems.
• Collaborate with experienced Data and AI professionals in an international environment.
• Work with cutting-edge technologies in metadata management, semantics, and knowledge graphs.