Lead Solutions Architect
Databricks1 day ago
Munich, GermanyStaff+
Responsibilities
- Lead and manage complex enterprise accounts with custom requirements from the first technical conversation through production.
- Deliver demos and pitches to budget holders and C-level stakeholders.
- Build working customer prototypes rapidly using AI-assisted development.
- Mentor and develop Solutions Architects and Senior Solutions Architects with Field Engineering leadership.
- Build Databricks’ technical presence in the DACH market through collateral, workshops, meetups, and conference talks.
- Develop and roll out repeatable best practices and processes across the region.
- Collaborate closely with internal subject-matter experts, product teams, and leadership.
- Run complex proofs of concept on at least one major public cloud.
Requirements
- Fluent German and business-level English are required for daily customer and internal communication.
- Substantial experience in technical pre-sales across complex customer interactions and the full sales lifecycle.
- Ability to lead technical and business discussions with C-level executives, orchestrate cross-functional teams, and influence long-term customer outcomes.
- 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, including coding assistants and agents.
- Ability to use AI assistance to build credible working prototypes while applying independent technical judgment.
- Experience running complex proofs of concept on at least one major public cloud.
- Strong judgment in prioritizing use cases and investments and navigating competitive markets.
Benefits
- Comprehensive employee benefits and perks are offered, with region-specific details available through Databricks.
- Remote work in Germany.
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.