Synced from Greenhouse · Jul 1

Solutions Architect

DatabricksLondon, United KingdomPosted Jul 1, 2026
Solutions ArchitectSenior
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Jul 1
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Greenhouse
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Job descriptionReq 7642125002

Req ID: FEQ126R19

Location: London

Industry Sector: All verticals - Strategic Customers

The Opportunity: Shaping The Future of Data & AI With Our Largest Customers

Data & AI are the engine driving transformation across our customer base. We are seeking a strategic technical leader to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK & Ireland.

As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI. You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives.

You will demonstrate our builder culture to the highest standards. At Databricks, we believe in “show, not tell”, and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations.

 

You will act as a peer leader for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent.

 

Why You’ll Love This Role

  • Strategic Influence: You will move beyond pure technology to shape long-term data strategies for complex, enterprise-scale organisations operating at the cutting edge of Data & AI.
  • Independent Ownership & Execution: As a Lead Solutions Architect, you will be encouraged to define your own approach to hitting our organisational goals, supported by our UKI leadership teams and extensive support functions. 
  • High Velocity & Growth: Databricks grew by over 65% across the last financial year and we have no intention of slowing down. Our product portfolio continues to expand and innovate, enabling you to bring a high-velocity reality to some of the UK & Ireland’s most recognisable brands and to evolve your own skills along the way.

How You Will Make an Impact

  • Trusted Advisory: You will build authentic partnerships with stakeholders—from developers to C-suite executives—helping them understand the vision of the Databricks Data Intelligence Platform.
  • Strategic Planning: Partner closely with Account Executives & UKI Leadership to design engagement strategies that address the specific needs of our largest customers.
  • Team Coaching: Act as a mentor for the wider practice, guiding them on how to approach complex customer scenarios and engage at an executive level with credibility.
  • Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer.
  • Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing content, and speaking at industry events.

What We Are Looking For

  • Enterprise Architecture: Experience influencing technology change at a global-scale enterprise level, with a particular focus on Data & AI strategy and implementation.
  • Commercial Awareness: Deep appreciation of customer and vendor commercial motivations and sales cycles.
  • Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs.
  • Builder Mentality: A bias towards “showing” rather than “telling”, preferring to inspire stakeholders through built examples.
  • Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc.)
  • Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders.
  • Travel: This role requires travel to customer sites in the UK and London offices (approx. 20-30%). We support flexible scheduling to help manage this travel alongside your personal life.

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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What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Solutions Architect
Databricks · London, United Kingdom
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