We are seeking a Senior Data Governance & Metadata Architect to modernize enterprise data governance and build an AI-ready semantic metadata and context layer.
The ideal candidate will have strong hands-on expertise with OpenMetadata and/or Collate, semantic modeling, ontologies, business glossaries, data contracts, data quality, and modern data governance architecture.
This role will play a key part in creating a trusted semantic metadata graph/context layer that enables enterprise AI agents and AI-driven use cases.
Key Responsibilities
- Architect and implement enterprise metadata and governance solutions using OpenMetadata / Collate.
- Design semantic models, ontologies, business glossaries, taxonomies, and metadata relationships.
- Build an enterprise semantic metadata graph / AI context layer to support AI agents and GenAI use cases.
- Define and implement Data Contracts at source, publish, and data-product levels.
- Establish automated data quality controls, validation rules, lineage, ownership, and governance policies.
- Integrate OpenMetadata/Collate with enterprise data platforms and governance tools such as Collibra.
- Define data products, ownership, stewardship, RACI, governance standards, and operating models.
- Partner with Data Engineering, Architecture, Governance, AI/ML, and business teams.
- Develop scalable governance architecture, solution guardrails, standards, and best practices.
Mandatory Skills
- Strong hands-on experience with OpenMetadata and/or Collate (getcollate.io).
- Strong Data Governance & Metadata Architecture experience.
- Expertise in semantic modeling / semantic layers.
- Experience designing ontologies, business glossaries, taxonomies, and metadata models.
- Strong understanding of knowledge graphs / semantic metadata graphs.
- Proven experience implementing Data Contracts.
- Strong experience with Data Quality frameworks and automation.
- Experience with data lineage, metadata management, stewardship, ownership, and data products.
- Understanding of how metadata and semantic context can support Enterprise AI / AI Agents / GenAI use cases.
- Strong data engineering and enterprise data architecture fundamentals.
Preferred Skills
- Experience with Collibra or similar enterprise governance platforms.
- Experience integrating governance platforms with cloud data ecosystems.
- Knowledge of Data Mesh, Data Products, Knowledge Graphs, and AI-ready data architectures.
- Experience defining enterprise governance operating models and RACI frameworks.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior