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.
- 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.
Skills Required
- Fluent German and business-level English
- Substantial experience in technical pre-sales across the full sales lifecycle
- Experience driving technical and business conversations with C-level executives
- Experience orchestrating cross-functional teams and influencing long-term customer outcomes
- Strong data expertise with deep experience in data engineering or data science
- Hands-on coding ability in Python and SQL
- Daily, fluent use of AI tools, coding assistants, and agents
- Ability to build working customer prototypes with AI assistance
- Hands-on experience running complex proofs of concept on at least one major public cloud
- Ability to prioritize use cases and investments and navigate competitive landscapes
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
