Data Governance & Open Metadata Architect
Position: Senior Data Governance & OpenMetadata Architect – AI Context Layer Location: Remote Duration: 6+ months Role Overview 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 Open Metadata/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 (). 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. Share Resumes to |