Intellias is looking for a Data Architect to join a strategic initiative for a global investment management company. You will design robust data foundations that enable safe, scalable, and effective AI adoption within a highly regulated enterprise environment.
Key responsibilities
- 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.
- Lead architecture workshops and provide guidance to engineering teams.
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, or Collibra.
- Strong understanding of metadata management, data lineage, data discovery, and data quality.
- Experience designing federated metadata architectures and knowledge of semantic modeling.
- Strong stakeholder management and consulting skills with the ability to present architecture documentation.
What we offer
- Opportunity to work on enterprise-scale AI and Data Governance initiatives.
- Influence architecture decisions across large, complex data ecosystems.
- Collaboration with experienced Data and AI professionals in an international environment.
- Work with cutting-edge technologies in metadata management, semantics, and knowledge graphs.