Required skills
Job description
Project overview
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:*
*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.
- 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.
Project details
- Start: flexible
- Duration: 6 months
- Remote: onsite
- Location: Buckinghamshire, United Kingdom, GB
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