Head of Data Platform & Architecture β€” Hybrid

Head of Data Platform & Architecture β€” Hybrid

Full-Time 80962 - 80962 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data architecture and engineering teams to design a robust data landscape.
  • Company: SettleParadigm, a forward-thinking company in High Wycombe.
  • Benefits: Competitive salary, excellent benefits, and career advancement opportunities.
  • Other info: Join a dynamic team and make a significant impact on data strategy.
  • Why this job: Shape the future of data integration in a hybrid work environment.
  • Qualifications: Expertise in data architecture and cloud platforms, especially Azure.

The predicted salary is between 80962 - 80962 Β£ per year.

SettleParadigm is seeking a Head of Data Architecture & Engineering to design and lead the data landscape in High Wycombe. This hybrid role involves overseeing data teams and ensuring robust data integration.

The ideal candidate will have deep expertise in data architecture and cloud platforms, particularly Azure.

The position offers an annual salary of Β£80,962 plus a Β£4,936 supplement, alongside excellent benefits and opportunities for career advancement.

Head of Data Platform & Architecture β€” Hybrid employer: SettleParadigm

SettleParadigm is an exceptional employer, dedicated to fostering a supportive and inclusive work environment where employees are valued and encouraged to grow. With a strong commitment to social purpose, we offer competitive salaries, generous benefits, and opportunities for professional development, all while working in a hybrid model that promotes work-life balance. Join us in making a meaningful impact in the communities we serve, as we strive to build more affordable homes and enhance the quality of life for our residents.

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Contact Details:

SettleParadigm Recruitment Team

We think you need these skills to ace Head of Data Platform & Architecture β€” Hybrid

Data Architecture
Cloud Platforms
Azure
Data Integration
Team Leadership
Data Engineering
Robust Data Design