Semantic Graph & Ontology Architect

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
Only candidates based in UK and eligible to work in UK are allowed