# Lead Solutions Architect

**Company**: Databricks
**Location**: Munich, Germany
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8768956002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_281a6334-455

## Description

At Databricks, we build the platform that makes data and AI usable across an entire organisation, 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 recognised 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 recognise 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 prioritise the right use cases and investments, and to navigate a competitive landscape.

## Skills

### Required
- Python
- SQL
- AI tools
- data engineering
- data science

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8768956002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)