What are the responsibilities and job description for the Microsoft Fabric Ontology Engineer position at Veracity Software Inc?
Location: Chicago, IL
Contract
Looking for 13 year exp.
Requirements
Key Responsibilities
Microsoft Fabric & Power BI
Contract
Looking for 13 year exp.
Requirements
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
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
- 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
- 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
- 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
- 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