Principal Data Architect β€” Cloud Data Platforms for AI in London

Principal Data Architect β€” Cloud Data Platforms for AI in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design of scalable, cloud-based data solutions for AI.
  • Company: Join a forward-thinking energy company in Greater London.
  • Benefits: Enjoy hybrid working, competitive salary, and great perks.
  • Other info: Collaborate with cross-functional teams in a dynamic environment.
  • Why this job: Shape the future of data architecture and make a real impact.
  • Qualifications: Strong background in data architecture and proficiency in SQL, Python or Java.

The predicted salary is between 80000 - 100000 Β£ per year.

Energy Jobline ZR is seeking a Principal Data Architect in Greater London to lead the design and delivery of scalable, cloud-based data solutions. You will work with cross-functional teams to define requirements and deliver high-quality data architectures.

The ideal candidate has a strong track record in data architecture, data governance, and technical leadership, along with proficiency in SQL and programming languages like Python or Java. The role offers hybrid working and various benefits.

Principal Data Architect β€” Cloud Data Platforms for AI in London employer: Energy Jobline ZR

Energy Jobline ZR is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a strong commitment to employee growth, we provide ample opportunities for professional development and a hybrid working model that promotes work-life balance. Join us to be part of a forward-thinking team dedicated to delivering cutting-edge cloud data solutions while enjoying a comprehensive benefits package.

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Contact Details:

Energy Jobline ZR Recruitment Team

We think you need these skills to ace Principal Data Architect β€” Cloud Data Platforms for AI in London

Python
SQL
Communication Skills
Problem-Solving Skills
Data Engineering
Data Governance
Automation