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 assista
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Job description
REQ ID: FEQ227R147 Location: Germany (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, pro
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Qualification
You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts; Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect; What We're Looking For Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers, with the ability to differentiate their capabilities, trade-offs, and suitability for different use cases, and to articulate a clear, informed point of view (POV) to customers; Deep expertise in the modern GenAI stack: LLM application patterns (RAG, agents, tool use), fine-tuning and model customization, prompt and evaluation engineering, and LLM guardrails/safety
Department · Field Engineering - Other

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Databricks
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
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