Enterprise Knowledge Graph Architect

SR2 REC LTD; Greater London; On-site; GBP 60,000 - 90,000; Part time

Job summary

SR2 REC LTD is seeking an experienced Data Scientist / Knowledge Graph Specialist to support a 12-week discovery project across enterprise systems in the United Kingdom. You will map data models, identify entities and relationships, and synthesize schemas to define taxonomy and ontology requirements.

Additionally, you will define how enterprise data could feed a knowledge graph, assess data quality and governance, and collaborate with data owners and architects to shape the future data

Qualifications

• Strong enterprise data architecture and data modelling experience.
• Knowledge graphs, ontologies and taxonomies.
• Complex data integration and metadata.
• Experience within Azure environments.
• Strong stakeholder engagement in large enterprise environments.
• Experience in regulated industries is highly desirable.

Responsibilities

• Map data models, schemas and flows across multiple enterprise systems.
• Identify entities, relationships and metadata across complex datasets.
• Synthesise schemas and define taxonomy and ontology requirements.
• Define how enterprise data could feed a knowledge graph.
• Assess data quality, ownership, governance and integration requirements.
• Help shape the future data architecture and implementation roadmap.
• Work directly with data owners, architects and technical stakeholders.

Skills

Data architecture

Data modelling

Knowledge graphs

Ontology/taxonomy

Stakeholder engagement

Regulated industries

Tools

Azure

Neo4j

GraphRAG

Microsoft Graph

Vector databases

Job description

SR2 REC LTD is seeking an experienced Data Scientist / Knowledge Graph Specialist to support a 12-week discovery project across enterprise systems in the United Kingdom. You will map data models, identify entities and relationships, and synthesize schemas to define taxonomy and ontology requirements.

Additionally, you will define how enterprise data could feed a knowledge graph, assess data quality and governance, and collaborate with data owners and architects to shape the future data