Azure Databricks Data Lead – Streaming & Platform Architect (Onsite 3x/wk) in London

Azure Databricks Data Lead – Streaming & Platform Architect (Onsite 3x/wk) in London

London Full-Time 60000 - 75000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of scalable data platforms on Azure and Databricks.
  • Company: Tatton Recruitment, a forward-thinking recruitment agency in London.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Onsite 3x/week with a focus on collaboration and innovation.
  • Why this job: Shape data strategy and make a real impact in a dynamic environment.
  • Qualifications: Extensive experience in data architecture and strong leadership skills.

The predicted salary is between 60000 - 75000 Β£ per year.

Tatton Recruitment seeks a highly experienced Data Technical Lead based in London to deliver scalable data platforms on Azure and Databricks.

The role combines hands-on development with strong technical leadership across the data stack.

You will drive data strategy, governance, quality standards and cost optimisation while guiding delivery from architecture through production support, collaborating with stakeholders to align solutions with business goals.

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Azure Databricks Data Lead – Streaming & Platform Architect (Onsite 3x/wk) in London employer: Tatton Recruitment

Tatton Recruitment offers an exceptional work environment for TIG Pipe Welders in Bromborough, where collaboration and quality craftsmanship are at the forefront of our operations. With competitive pay rates and ample overtime opportunities, we prioritise employee growth and development, ensuring that our team members thrive both professionally and personally in a supportive culture.

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Contact Details:

Tatton Recruitment Recruitment Team

We think you need these skills to ace Azure Databricks Data Lead – Streaming & Platform Architect (Onsite 3x/wk) in London

Communication Skills
Problem-Solving Skills
SQL
Data Engineering
Python
API Integration
Data Governance