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Graphdb Architect
Job in
Luton, Bedfordshire, EX14, England, UK
Listed on 2026-10-24
Listing for:
Square One Resources
Full Time
position Listed on 2026-10-24
Job specializations:
-
IT/Tech
Data Engineering, Azure, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Location: UK Remote
Contract: 6 months
Rate: £#removed# Daily Rate, Inside IR35
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 .
- 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 Fin Ops recommendations.
- Define deployment, governance and operational best practices for the enterprise graph platform.
- 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.
- GraphRAG and enterprise AI architecture.
- LLM orchestration and knowledge graph extraction.
- Azure Dev Ops and infrastructure deployment automation.
Enterprise data governance, Fin Ops and cloud platform strategy.
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