Graphdb Architect

Square One Resources; United Kingdom; Remote; GBP 111,000 - 166,000; Full time

Job summary

Square One Resources seeks an experienced Graph Database Architect to design and own a Neo4j platform on Microsoft Azure. You will define graph ontology, deployment standards, and cost strategy to support scalable data and AI solutions.

You will own architectural decisions to ensure security, resilience, and performance aligned with enterprise data and AI requirements, with remote UK work for a six-month contract.

Qualifications

• Proven experience designing Neo4j graph database platforms.
• Strong expertise in Cypher, graph modelling and ontology design.
• 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.

Responsibilities

• Define the end-to-end Neo4j architecture, including graph ontology and schemas.
• Establish standards for graph-based retrieval and multi-hop querying.
• Design scalable ingestion and transformation pipelines for structured and unstructured data.
• Determine deployment approaches using Neo4j AuraDB or Azure VM/container infra.
• Architect integrations with Azure OpenAI, Azure AI Search, Data Factory and Functions.
• Define operational standards for monitoring, security, backup and DR.
• Lead cost optimisation and FinOps for Azure infrastructure.
• Define deployment, governance and operational best practices for the graph platform.

Skills

Neo4j

Cypher

Graph Modelling

Ontology Design

Graph Data Science

Azure

Cost Governance

Python

Performance Tuning

Tools

Neo4j

Cypher

Python

Azure

Azure OpenAI

Azure Data Factory

Azure Functions

Job description

Graph Database Architect - Neo4j/Azure

Location: UK Remote
Contract: 6 months
Rate: £#removed# 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.