GraphDB Architect

Graph Database Architect - Neo4j/Azure

Location: UK Remote
Contract: 6 months
Rate: £375-455 Daily Rate, Inside IR35

The Opportunity

We are looking for an experienced Graph Database Architect to design and own an enterprise Neo4j platform hosted on Microsoft Azure.

This role will focus on defining the graph architecture, ontology, deployment standards, operational framework and cost strategy to support scalable enterprise data and AI solutions.

You will take ownership of architectural decisions, ensuring the platform is secure, resilient, performant and aligned with wider enterprise data and AI requirements.

Key Responsibilities

• Define the end-to-end Neo4j architecture, including graph ontology, domain models, schemas, constraints and data governance.
• Establish architectural standards for graph-based retrieval, multi-hop querying, vector search and GraphRAG.
• Design scalable ingestion and transformation pipelines for structured and unstructured data.
• Determine deployment approaches using Neo4j AuraDB or Azure VM/container-based infrastructure.
• Architect integrations with Azure OpenAI, Azure AI Search, Azure Data Factory, Azure Functions, Key Vault and Microsoft Entra ID.
• Define operational standards for schema versioning, monitoring, security, backup, high availability and disaster recovery.
• Establish indexing, performance tuning and query optimisation strategies.
• Lead Azure infrastructure, licensing and resource cost optimisation, providing FinOps recommendations.
• Define deployment, governance and operational best practices for the enterprise graph platform.

Essential Skills & Experience

• Proven experience designing and architecting Neo4j graph database platforms.
• Strong expertise in Cypher, graph modelling, ontology design and Graph Data Science.
• Experience with vector indexes, graph retrieval and knowledge graph architectures.
• Strong understanding of Microsoft Azure data and AI services.
• Experience designing secure, scalable and highly available database platforms.
• Knowledge of Python, data ingestion pipelines and enterprise integration patterns.
• Experience with performance optimisation, cloud infrastructure and cost governance.

Desirable Experience

• GraphRAG and enterprise AI architecture.
• LLM orchestration and knowledge graph extraction.
• Azure DevOps and infrastructure deployment automation.
• Enterprise data governance, FinOps and cloud platform strategy.

If you have designed and owned enterprise Neo4j platforms and can combine graph architecture with Azure operations and AI integration, we would be keen to hear from you.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
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