Lead Solutions Architect

<p data-pm-slice="1 1 []">FEQ427R476</p> <p><strong>Location:</strong> Remote, Germany</p> <p>At Databricks, we build the platform that makes data and AI usable across an entire organization, not just in a specialist team. Our customers come to us with problems that have no template, and the Solutions Architects are the people who work those problems out with them.</p> <p>As a Lead Solutions Architect, you own our most complex enterprise relationships in the region, technically and commercially, and you act as a recognized voice in the wider data community. You will be measured by the impact you have on those accounts and on the Solutions Architects around you.</p> <h2>The impact you will have</h2> <ul> <li>Lead and manage complex enterprise accounts with custom requirements, from the first technical conversation through to production.</li> <li>Deliver compelling demos and pitches to budget holders and C-level stakeholders.</li> <li>Turn customer conversations into working prototypes fast, using AI-assisted development to build demos in hours rather than weeks.</li> <li>Mentor and develop Solutions Architects and Senior SAs together with Field Engineering leadership.</li> <li>Build Databricks' technical presence in the DACH market through customer-facing collateral, workshops, meetups, and conference talks.</li> <li>Develop and roll out best practices and repeatable processes across the region.</li> <li>Establish close working relationships with internal SMEs, product teams, and leadership.</li> </ul> <h2>What we look for</h2> <ul> <li>Fluent German and business-level English. Both are used daily with customers and internally.</li> <li>Substantial experience in technical pre-sales, including complex customer interactions across the full sales lifecycle.</li> <li>Ability to drive technical and business conversations with C-level executives, orchestrate cross-functional teams, and influence outcomes toward long-term customer success.</li> <li>Strong track record in the data landscape, with deep expertise in at least one of data engineering or data science.</li> <li>Hands-on coding ability in Python and SQL.</li> <li>Daily, fluent use of AI tools in your own work. Coding assistants and agents are part of how you operate, not something you try out occasionally.</li> <li>Able to vibe-code a demo: assemble a credible, working prototype for a specific customer problem with AI assistance, and recognize where the output still needs your own judgment.</li> <li>Hands-on experience running complex proofs of concept on at least one major public cloud.</li> <li>Judgment to prioritize the right use cases and investments, and to navigate a competitive landscape.<