Lead technical strategy for customer accounts in data engineering, ML/AI, and real-time analytics, owning architecture discussions and driving platform adoption from discovery through production. Requires 6+ years in solutions architecture or related technical roles, with strong Python and SQL coding skills, deep expertise in distributed data systems, and proficiency with the Databricks platform. Based in London, UK.
Written from this posting by Neural Jobs AI. The full description is below.
Req ID: FEQ427R45
Location London, UK
The Role
As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain.
The Impact You Will Have
What We Look For
Nice to Have:
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Databricks builds the Data Intelligence Platform, a lakehouse architecture that unifies data warehousing, analytics and machine learning on open formats. The company originated Apache Spark, Delta Lake and MLflow.
Founded in 2013 by the creators of Spark at UC Berkeley, Databricks serves enterprises building data pipelines, analytics and AI applications at scale.
United Kingdom
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