Microsoft Fabric Ontology Engineer

Microsoft Fabric Ontology Engineer Location- Chicago- Remote works Long Term Contract Key Responsibilities • Design and maintain enterprise ontologies and knowledge graphs aligned to business domains (finance, HR, supply chain, etc.) within Microsoft Fabric • Build and manage semantic models in Power BI using ontology-driven design principles, including entity hierarchies, relationships, and synonym mappings • Define and enforce data definitions, business glossaries, and metadata standards across the Fabric lakehouse and warehouse layers • Collaborate with data engineers to map ontological concepts to OneLake, Fabric Lakehouses, and Delta Lake tables • Integrate ontologies with Microsoft Purview for data cataloguing, lineage tracking, and governance • Develop domain-specific ontologies using standards such as OWL, RDFS, and SKOS, and expose them through Fabric APIs or semantic endpoints • Enable natural language Q&A and Copilot experiences in Power BI by enriching semantic models with ontological metadata • Work with AI/ML teams to provide structured ontological features for Azure OpenAI and Fabric's AI workloads • Establish best practices and documentation for ontology lifecycle management — versioning, deprecation, and change governance • Collaborate with business stakeholders to capture and formalise domain knowledge into machine-readable models Required Skills & Experience Microsoft Fabric & Power BI • Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Notebooks, Semantic Models) • Strong proficiency in Power BI semantic modelling — DAX, relationships, hierarchies, calculation groups • Experience with OneLake and Delta Lake table formats • Familiarity with Microsoft Purview for data cataloguing and lineage Ontology & Knowledge Engineering • Proficiency in ontology languages: OWL (Web Ontology Language), RDFS, SKOS • Experience with ontology development tools such as Protégé, TopBraid Composer, or similar • Understanding of RDF (Resource Description Framework) and SPARQL for querying knowledge graphs • Ability to design taxonomies, thesauri, and controlled vocabularies • Knowledge of linked data principles and URI-based entity identification Data & Analytics Engineering • Strong SQL skills across T-SQL and Spark SQL • Experience with Python or PySpark for data transformation and ontology integration pipelines • Familiarity with REST APIs and JSON-LD for publishing and consuming semantic data • Understanding of medallion architecture (Bronze / Silver / Gold) within a lakehouse context AI & Semantic Technologies • Awareness of how ontologies enhance LLM-based applications (RAG pipelines, grounding, entity disambiguation) • Experience or interest in integrating ontologies with Azure OpenAI Service or Microsoft Copilot Studio • Familiarity with knowledge graph platforms (e.g. Azure Cosmos DB, Neo4j, or AWS Neptune) is a plus Preferred Qualifications • Experience with industry-standard ontologies such as FIBO (finance), HL7 FHIR (healthcare), GS1 (retail), or PROV-O (provenance) • Background in enterprise data governance or MDM (Master Data Management) • Microsoft certifications: DP-600 (Fabric Analytics Engineer), PL-300 (Power BI), or SC-400 (Information Protection) • Degree in Computer Science, Information Science, Knowledge Engineering, or a related field