Lead Solutions Architect

Databricks
Munich, Germany
Remote

Who this role is best for

A natural match if you have experience in technical pre-sales and building AI-assisted prototypes.

Best fit for

  • Candidates with complex enterprise account experience and strong AI tool integration skills
    — “Lead and manage complex enterprise accounts with custom requirements”
  • Individuals who can deliver high-impact demos and influence C-level executives
    — “Deliver compelling demos and pitches to budget holders and C-level stakeholders”
  • Professionals with a track record in data engineering or data science and a mentorship mindset
    — “Strong track record in the data landscape, with deep expertise in at least one of data engineering or data science”

Things to consider

  • Fluency in German is a daily requirement for customer and internal communication
    — “Fluent German and business-level English. Both are used daily with customers and internally.”
  • The role involves frequent customer-facing technical and commercial leadership
    — “You own our most complex enterprise relationships in the region, technically and commercially”

How to stand out

  • Highlight your ability to rapidly prototype solutions using AI-assisted development
    — “Turn customer conversations into working prototypes fast, using AI-assisted development”
  • Emphasize your experience in running complex proofs of concept on major public clouds
    — “Hands-on experience running complex proofs of concept on at least one major public cloud”
  • Showcase your leadership in mentoring and developing technical teams
    — “Mentor and develop Solutions Architects and Senior SAs together with Field Engineering leadership”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Lead complex enterprise accounts
  • Deliver compelling demos
  • Mentor Solutions Architects
Typical background
Technical pre-sales experienceData landscape expertise

Skills & requirements

Required

Technical Pre-salesComplex Customer InteractionsAI ToolsPythonSQLCloud Proofs Of Concept

Preferred

MentorshipWorkshopsConference Talks

Stack & domain

PythonSQLAI ToolsData EngineeringData ScienceLeadershipCommunicationMentoringDataAI

About the role

Original posting from Databricks

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.

Source: Databricks careers

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