Semantic Platform Engineer

Job summary

Build and operate a production semantic data platform that provides diagnostic agents with an asset and relationship model for AI-driven health scores, contextual diagnostics, and prioritized action plans for critical data-center power equipment, starting with UPS and busway. Deploy an ontology engine and shared repository on Azure alongside Databricks analytics, build portable data pipelines and documented read-only query endpoints, and validate ontology mappings with SPARQL, SHACL, and CI using historical incident data.

Benefits

Qualifications

• At least 4 years building production knowledge graphs, ontologies, or semantic data platforms.
• Hands-on experience with RDF/RDFS, OWL 2, SPARQL 1.1, and SHACL.
• Strong Python skills, including rdflib, pySHACL, or similar; experience with Git and CI.
• Experience deploying and operating an RDF triple store or reasoner.
• Azure experience with containers, infrastructure as code, and CI/CD; experience with Databricks.
• Ability to work with domain experts and explain modelling choices to software engineers.
• Preferred: knowledge of electrical power systems, data centers, and maintenance terminology.
• Preferred: familiarity with standard vocabularies such as Brick, RealEstateCore, ASHRAE 223, SOSA/SSN, QUDT, ISO 14224, or IEC 81346.
• Preferred: experience combining knowledge graphs with LLMs, including GraphRAG, text-to-SPARQL, or ontology-grounded prompting.
• Preferred: familiarity with property graphs and tools such as Neo4j/Cypher, Protege, TopBraid, or LinkML.

Responsibilities

• Deploy an ontology engine and shared semantic repository for partner teams.
• Build Azure pipelines to load resolved data into the repository alongside Databricks analytics.
• Create portable deployments using containers and infrastructure as code.
• Expose the graph through documented, read-only query endpoints and measure query performance.
• Version and test ontology mappings using SPARQL competency tests, SHACL conformance, and CI.
• Write documentation, schema summaries, and example queries for diagnostic agents.
• Maintain competency questions and expected answers for testing agents against historical incidents.

Skills

Industry

Contract length

Relocation