Search
Go
This job is no longer accepting applications
This listing was closed on Sep 16, 2026.
Browse Open JobsSr. Solutions Architect
Summary by AIEngineer.careers
Sr. Solutions Architect is a AI Solutions Architect role (full-time). with Databricks. in GREATER LONDON, GB. Imported listing (source: zerogtalent.com). Apply on the employer's site (zerogtalent.com).
Imported listing (source: zerogtalent.com) · Apply on zerogtalent.com
GREATER LONDON · GB
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from zerogtalent.com
Databricks seeks a Senior Solutions Architect to lead technical pre-sales and adoption of its Data Intelligence Platform for large enterprise customers in London. The role combines deep data engineering, machine learning, and cloud architecture expertise to influence C-level stakeholders and drive platform adoption. This is a customer-facing role involving up to 60% travel.
Responsibilities
- Engage with Databricks' most complex customers to achieve their unified platform goals.
- Develop and execute customer engagement strategies with Account Executives and Solutions Architects.
- Coach core account teams on positioning, adoption strategies, and execution.
- Influence stakeholders across the cloud ecosystem and 3rd party applications.
- Operate as a trusted advisor for data analytics architecture and Databricks Lakehouse adoption.
- Contribute to technical community through customer collateral, workshops, seminars, and meet-ups.
- Pursue development tracks in technical specialization, industry thought leadership, strategic vision, or people management.
Requirements
- Technical pre-sales experience in complex customer engagements and sales lifecycle.
- Background in Data Engineering, Data Warehousing, or Machine Learning/AI.
Databricks
San Francisco · US · 16244+ employees
Databricks is a data and AI company that created the data lakehouse architecture. Its unified platform supports data engineering, data warehousing, machine learning, and AI application development.
