Senior Data Platform Solutions Architect

Senior Data Platform Solutions Architect

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
Databricks

At a Glance

  • Tasks: Design customised data solutions and collaborate with a dynamic team of experts.
  • Company: Join Databricks, a leader in data intelligence and innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Exciting role in a fast-paced environment with great career advancement potential.
  • Why this job: Make a real impact by helping top customers harness the power of data.
  • Qualifications: Experience in data engineering, Python/SQL skills, and familiarity with Spark.

The predicted salary is between 72000 - 88000 Β£ per year.

Databricks is seeking a Solutions Architect in London to engage with our largest customers across the region and advise on adopting the Data Intelligence Platform. You will collaborate with a cross-functional team of Solutions Architects, Account Executives, and technology specialists to design customized solutions that align with customer goals.

You will work with data engineering/DWH backgrounds, have hands-on Python/SQL experience, and be comfortable with Spark and public cloud platforms.

Senior Data Platform Solutions Architect 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 Data Platform Solutions Architect

Communication Skills
Problem-Solving Skills
SQL
Python
Data Engineering
Automation
Attention to Detail