Lead Solutions Architect

About this role

Responsibilities

• Lead and manage complex enterprise accounts with custom requirements, from the first technical conversation through to production.
• Deliver compelling demos and pitches to budget holders and C-level stakeholders.
• Turn customer conversations into working prototypes fast, using AI-assisted development to build demos in hours rather than weeks.
• Mentor and develop Solutions Architects and Senior SAs together with Field Engineering leadership.
• Build Databricks' technical presence in the DACH market through customer-facing collateral, workshops, meetups, and conference talks.
• Develop and roll out best practices and repeatable processes across the region.
• Establish close working relationships with internal SMEs, product teams, and leadership.
• Fluent German and business-level English. Both are used daily with customers and internally.

Requirements

• Substantial experience in technical pre-sales, including complex customer interactions across the full sales lifecycle.
• Ability to drive technical and business conversations with C-level executives, orchestrate cross-functional teams, and influence outcomes toward long-term customer success.
• Strong track record in the data landscape, with deep expertise in at least one of data engineering or data science.
• Hands-on coding ability in Python and SQL.
• 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.
• 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.
• Hands-on experience running complex proofs of concept on at least one major public cloud.
• Judgment to prioritize the right use cases and investments, and to navigate a competitive landscape.

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.