Graph Database Expert & Architect - Neo4j (Azure)

AxiaMetrics LLP

Milton Keynes

On-site

GBP 90,000 - 140,000

Full time

8 days ago

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Job summary

AxiaMetrics LLP in Milton Keynes, UK seeks a Graph Database Expert & Architect to design and own the enterprise Neo4j graph platform on Azure. You will govern ontology, retrieval, operations, and cost controls, enabling scalable AI-driven insights across structured and unstructured data.

Responsibilities include building graph schemas, indexing strategies, and Cypher-based retrieval, while integrating with Azure AI services and governance tooling.

Qualifications

  • Must have hands-on Neo4j experience including graph modelling, ontology design and Cypher-based retrieval.
  • Experience with Graph Data Science, vector search, and multi-hop queries for enterprise AI use cases.
  • Proficiency in Python and Azure data/AI services; track record of performance tuning and cost governance.

Responsibilities

  • Design graph ontology, domain model, node/relationship schema, constraints, and data-quality rules in Neo4j.
  • Build Cypher-based retrieval, multi-hop traversal, path expansion, and graphRAG patterns for enterprise AI use cases.
  • Define indexing strategy-property, full-text, and vector indexes to optimize latency and retrieval accuracy.
  • Parse structured and unstructured sources into entities, relationships, and traversable knowledge graphs.
  • Establish an operations framework on Azure: ingestion pipelines, schema versioning, monitoring, backup/HA, security, performance tuning, and deployment standards.
  • Deploy and operate Neo4j on Azure (AuraDB or Azure VM/container), integrating with Azure AI Search, Azure OpenAI, Azure Data Factory, Azure Functions, Key Vault, and Entra ID.
  • Optimize Azure compute, storage, networking, licensing, and query costs; provide deployment and FinOps recommendations.

Skills

Neo4j
Cypher
Graph modelling
Ontology
Graph Data Science
Vector search
Multi-hop querying
Python
Azure AI services
Performance tuning
Azure cost optimization

Job description

Graph Database Expert & Architect - Neo4j (Azure)

Role: Design and own the enterprise Neo4j graph platform on Azure, including ontology, retrieval, operations, and cost governance.

Key responsibilities:
  • Design graph ontology, domain model, node/relationship schema, constraints, and data-quality rules in Neo4j.
  • Build Cypher-based retrieval, multi-hop traversal, path expansion, and graphRAG patterns for enterprise AI use cases.
  • Define indexing strategy-property, full-text, and vector indexes-to optimize latency and retrieval accuracy.
  • Parse structured and unstructured sources into entities, relationships, and traversable knowledge graphs.
  • Establish an operations framework on Azure: ingestion pipelines, schema versioning, monitoring, backup/HA, security, performance tuning, and deployment standards.
  • Deploy and operate Neo4j on Azure (AuraDB or Azure VM/container-based Neo4j), integrating with Azure AI Search, Azure OpenAI, Azure Data Factory, Azure Functions, Key Vault, and Entra ID.
  • Optimize Azure compute, storage, networking, licensing, and query costs; provide deployment and FinOps recommendations.
Must-have skills:
  • Neo4j, Cypher, graph modelling/ontology, Graph Data Science, vector search, multi-hop querying, Python, Azure data/AI services, performance tuning, and Azure cost optimization.
Nice-to-have:
  • GraphRAG, LLM orchestration, knowledge-graph extraction, Azure DevOps, enterprise data governance, and FinOps.
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