Senior Knowledge Graph Architect for Enterprise Data

Senior Knowledge Graph Architect for Enterprise Data

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
GL Global

At a Glance

  • Tasks: Design and implement enterprise semantic data platforms for AI and analytics.
  • Company: GL Global, a leader in innovative data solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team and drive innovation in complex organisations.
  • Why this job: Shape the future of data with cutting-edge graph technology and impactful projects.
  • Qualifications: Experience with RDF/OWL/SPARQL, graph databases, and strong consulting skills.

The predicted salary is between 70000 - 90000 £ per year.

GL Global is seeking a Senior Knowledge Graph Consultant to design and implement enterprise semantic data platforms powering AI and analytics across complex organisations. You’ll develop ontologies, data models and taxonomies, integrate structured and unstructured data, and collaborate with stakeholders to translate business needs into scalable graph solutions.

This role requires strong consulting skills, experience with RDF/OWL/SPARQL and graph databases, and the ability to shape enterprise.

Senior Knowledge Graph Architect for Enterprise Data employer: GL Global

GL Global is an exceptional employer that fosters a collaborative and innovative work culture, ideal for professionals passionate about advancing AI and analytics through semantic data platforms. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge projects in a dynamic environment. Located in a vibrant area, our team enjoys a supportive atmosphere that values creativity and teamwork, making it a rewarding place to build your career.

GL Global

Contact Details:

GL Global Recruitment Team

We think you need these skills to ace Senior Knowledge Graph Architect for Enterprise Data

Knowledge Graph Design
Semantic Data Platforms
Ontology Development
Data Modelling
Taxonomy Development
Integration of Structured and Unstructured Data
Stakeholder Collaboration