Lakebase Solutions Architect: Data, AI & GTM Strategy

Lakebase Solutions Architect: Data, AI & GTM Strategy

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

  • Tasks: Enhance client engagement and drive product adoption for Databricks’ Lakebase product line.
  • Company: WinsAbove, a leader in data solutions with a focus on innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to transforming data strategies.
  • Why this job: Make a direct impact on client success through strategic influence and technical leadership.
  • Qualifications: 10+ years in data architecture and 6+ years in customer-facing roles, with SQL and Python skills.

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

WinsAbove is looking for an experienced Solutions Architect to enhance client engagement and drive product adoption for Databricks’ Lakebase product line. The role requires significant expertise in data architecture, client collaboration, and technical problem-solving.

The ideal candidate will have over 10 years of experience with transactional databases and 6+ years in customer-facing roles, along with skills in SQL and Python. This role offers an opportunity to impact client success directly through strategic influence and technical leadership.

Lakebase Solutions Architect: Data, AI & GTM Strategy employer: WinsAbove

WinsAbove is an exceptional employer that prioritises innovation and collaboration in the heart of London. With a strong commitment to employee growth, we offer extensive coaching and development opportunities, fostering a diverse and inclusive work culture that empowers our team to drive impactful AI solutions. Join us to be part of a dynamic environment where your contributions are valued and rewarded.

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Contact Details:

WinsAbove Recruitment Team

We think you need these skills to ace Lakebase Solutions Architect: Data, AI & GTM Strategy

Data Architecture
Client Collaboration
Technical Problem-Solving
Transactional Databases
Customer-Facing Experience
SQL
Python