Lead Data Architect - Ontology-Driven Platforms (Foundry)

Lead Data Architect - Ontology-Driven Platforms (Foundry)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build scalable data pipelines for innovative ontology-driven platforms.
  • Company: G.Digital, a forward-thinking company shaping the future of data architecture.
  • Benefits: Competitive salary, travel opportunities, and a chance to work with cutting-edge technology.
  • Other info: Monthly travel to Leeds office required; great opportunity for career growth.
  • Why this job: Join a dynamic team and influence the future of data platforms.
  • Qualifications: Experience with Foundry or similar platforms and strong communication skills.

The predicted salary is between 60000 - 80000 Β£ per year.

G.Digital is seeking a Senior/Lead Data Architect to influence design for modern, ontology-driven data platforms. The role entails building scalable data pipelines, evolving enterprise ontologies, and collaborating with cross-functional teams.

Ideal candidates will have:

  • Hands-on experience with Foundry or similar platforms
  • A background in enterprise data modelling
  • Excellent communication skills

Monthly travel to the office in Leeds is required.

Lead Data Architect - Ontology-Driven Platforms (Foundry) employer: G.Digital

G.Digital is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data architecture. With a focus on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge ontology-driven platforms. Our Leeds office provides a vibrant environment where creativity thrives, making it an ideal location for professionals looking to make a meaningful impact in their careers.

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Contact Details:

G.Digital Recruitment Team

We think you need these skills to ace Lead Data Architect - Ontology-Driven Platforms (Foundry)

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Data Governance
Data Pipeline Development