Senior Lakehouse Solutions Architect - Data & AI

Senior Lakehouse Solutions Architect - Data & AI

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Databricks

At a Glance

  • Tasks: Influence product adoption and design impactful engagement strategies in the marketplace.
  • Company: Join Databricks, a leader in Data & AI with a commitment to inclusivity.
  • Benefits: Diverse benefits package supporting your well-being and career growth.
  • Other info: Be part of a dynamic team in Greater London with exciting opportunities.
  • Why this job: Make a real impact in the tech industry while building strong client relationships.
  • Qualifications: Extensive database expertise and proven consulting skills required.

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

Databricks is seeking a Solutions Architect in Greater London to influence product adoption and design impactful engagement strategies within the marketplace. The ideal candidate will have extensive experience in database expertise and a proven track record of establishing effective client relationships.

Committed to fostering an inclusive workplace, Databricks offers a diverse range of benefits to support their employees. Interested candidates are encouraged to apply with an emphasis on their technical and consulting abilities.

Senior Lakehouse Solutions Architect - Data & AI employer: Databricks

Databricks is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor others, all while working with cutting-edge data analytics solutions. The collaborative environment encourages creativity and teamwork, making it a rewarding place for those passionate about technology and client engagement.

Databricks

Contact Details:

Databricks Recruitment Team

We think you need these skills to ace Senior Lakehouse Solutions Architect - Data & AI

Communication Skills
Problem-Solving Skills
Python
SQL
Data Engineering
Data Pipeline Development
API Integration