A on-site Engineering Leadership role at Databricks.
Keywords this role’s ATS scans for
Sydicom tailors your CV and cover letter to match these.
How Sydicom helps: we read this listing’s requirements and tune your CV and cover letter to the keywords its ATS (Greenhouse) is scanning for, for candidates in Germany, then help you apply.
Original listing text, shown exactly as published by the company.
SLSQ227R832
We are open to strong candidates based in other locations in Germany.
We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists across the Central region responsible for growing the Databricks Lakebase business.
Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organisations move away from fragmented stacks toward a unified data and application platform.
In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernise legacy databases, simplify application architectures, and operationalise AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organisation.
This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.
Databricks
Engineering Leadership
605 open roles on Sydicom
Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark at the University of California, Berkeley. It offers a cloud-based platform for data analytics and artificial intelligence. It operates natively across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The platform includes an open data marketplace built on the Delta Sharing protocol, and functions as a managed AI infrastructure provider by providing proprietary foundation models—including those from OpenAI, Anthropic, and Google Gemini—directly within its secure perimeter.
Source: Wikipedia