Senior Graph & Ontology Architect

As a Senior Knowledge Graph & Ontology Architect, you will make an impact by designing and governing enterprise semantic architectures that enable trusted, scalable, and AI-ready knowledge systems. You will be a valued member of our Data & AI team and work collaboratively with data architects, engineers, data domain experts, AI specialists, and client stakeholders to establish the semantic foundation that powers enterprise knowledge graphs, search, analytics, and agentic AI solutions.

• Design and govern enterprise ontologies, semantic models, and knowledge graph architectures, including OWL/RDF ontologies, classes, properties, taxonomy structures, and SHACL validation frameworks.
• Lead the development of business domain models and governed vocabularies across key entities, ensuring consistency, traceability, and alignment with business objectives.
• Define and maintain enterprise business glossaries, KPI registries, semantic standards, and governance processes, including ownership models and change management workflows.
• Architect graph-based knowledge platforms using technologies such as Spanner Graph, Neo4j, Amazon Neptune, Tiger Graph, GraphDB, Dataplex, Big Query, and Vector Search.
• Partner with engineering, AI, and platform teams to establish governance controls, security standards, lineage frameworks, and AI architecture guardrails that ensure trustworthy and scalable solutions.

• 8+ years of experience in data architecture, knowledge graph architecture, ontology engineering, or related disciplines, including significant experience leading ontology and semantic model design initiatives.
• Hands-on expertise with OWL/RDF ontology development, semantic modeling, taxonomy management, and SHACL constraint authoring or equivalent ontology frameworks.
• Experience architecting graph-based knowledge systems using platforms such as Neo4j, Amazon Neptune, Tiger Graph, GraphDB, Stardog, Apache Jena, Spanner Graph, or similar technologies.
• Strong proficiency in Python and SQL, with working knowledge of Google Cloud Platform services including Big Query, Dataplex, and Vector Search.
• Experience establishing data governance frameworks, including business glossaries, KPI definitions, lineage standards, access controls, and metadata governance.
• Proven ability to collaborate with technical and business stakeholders to resolve complex data modeling challenges and drive enterprise architecture decisions.

• Direct experience with Spanner Graph, Graph Query Language (GQL), or advanced property graph implementations.
• Experience designing knowledge architectures that support agentic AI, retrieval-augmented generation (RAG), or Vertex AI/Gemini solutions.
• Telecommunications industry experience, including familiarity with OSS/BSS environments and TM Forum frameworks such as SID and eTOM.
• Google Cloud Professional Data Engineer, Professional Cloud Architect, or equivalent cloud certifications.
• Experience leading enterprise-scale semantic transformation initiatives across complex, multi-source data ecosystems.

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Applications will be accepted until November 29, 2026

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