Synced from Greenhouse · Sep 8

Solutions Architect

DatabricksMunich, GermanyPosted Sep 8, 2026
Solutions ArchitectSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Sep 8
Posted
Greenhouse
Applicant system
Job descriptionReq 8768956002

FEQ427R476

Location: Remote, Germany

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.

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.

The impact you will have

  • 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.

What we look for

  • Fluent German and business-level English. Both are used daily with customers and internally.
  • 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.

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.

View original posting on Greenhouse

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
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