Semantic Graph & Ontology Architect
9 days ago
West Bromwich
Rubicon Consulting is currently recruiting for Semantic Graph & Ontology Architect on a 6 Month Rolling Contract, based in Warwickshire. Role Summary We’re building a Smart Data Fabric that unifies enterprise data (Snowflake, SharePoint, ERP, NoSQL, and document silos) and exposes it to advanced AI agents through a semantic, graph-native, and vector-aware foundation. You will own graph and semantic architecture, modeling business relationships, processes, and logic to enable accurate, contextual, auditable workflows. This is a hands-on leadership role spanning LPG vs RDF/OWL tradeoffs, query optimization, and ontology engineering. Key Responsibilities Graph & Semantic Architecture • Design scalable graph schemas (LPG and/or RDF/OWL) based on semantic and inference requirements., • Author and optimize Cypher/Gremlin/SPARQL queries for multi-hop traversal, orchestration, and complex reasoning., • Define canonical entity models and mapping layers across Snowflake, MongoDB, SharePoint, ERP, and unstructured content. Ontology Engineering & Reasoning • Create and maintain formal ontologies/taxonomies; govern versioning and lifecycle., • Implement logical inference (rules/constraints) for agent decision-making, conflict detection, and workflow integrity., • Establish semantic consistency standards and data quality checks. Hybrid Semantic Layer (Graph + Logic) • Design a hybrid semantic layer combining graph context with business logic and access controls for semantic search, multi-hop traversal, and knowledge contextualization., • Model RACI/RBAC as graph edges/nodes; embed compliance rules and auditability. APIs, Patterns & Collaboration • Define clean API layers for semantic enrichment and retrieval; deliver reference implementations and patterns., • Specify MCP-based (Model Context Protocol) tool discovery/invocation patterns; collaborate with platform engineers for agent connectivity. Partner with data/platform/security teams on ingestion pipelines, lineage, governance, and observability requirements. Quality, Performance & Governance • Set query performance budgets; prevent Cartesian explosions; ensure index utilization., • Establish lineage and data governance artifacts (semantic catalogs, policy nodes, audit trails)., • Document standards and mentor engineers adopting graph/semantic patterns. Requirements • Bachelor’s/Master’s in CS, Data Science, Mathematics, Engineering, or related field., • 7–12 years in graph databases, semantic modelling, ontology engineering., • Deep expertise in Cypher, Gremlin, SPARQL; strong command of LPG vs RDF/OWL tradeoffs., • Hands-on with Neo4j, AWS Neptune, TigerGraph, Stardog (at least one in production)., • Experience mapping enterprise data (Snowflake/MongoDB/SharePoint/ERP) into graph/ontology layers., • Strong understanding of RBAC/RACI, data governance, lineage, and security controls., • Ability to design clean APIs and reference implementations for semantic enrichment/retrieval., • Practical AWS familiarity (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications • Ontology tooling (Protégé, SHACL/SWRL), reasoning engines, and constraint modeling., • Prior delivery of enterprise knowledge graphs supporting workflows & audit trails., • Exposure to vector retrieval/RAG and how graph context informs re-ranking., • Observability awareness (tracing across graph layers, OpenTelemetry, Prometheus/Grafana)., • Experience with Snowflake/MongoDB/SharePoint APIs and ERP data structures Our Company Rubicon Consulting is a Talent management consultancy which helps you to optimise business performance and competitive advantage by choosing the right people first time