Lakebase Sales Specialist, Director (Germany)

As a Senior Lakebase Sales Specialist you drive Lakebase adoption in the Central region, partnering with Account Executives to close strategic, multi-stakeholder deals. You articulate Lakebase value to platform, data, and IT teams and shepherd opportunities from discovery to close. You own executive-facing conversations, proof-of-value, and co-selling motions with partners, shaping regional demand and revenue growth while advancing Databricks’ Lakebase mission.

• Identify and qualify Lakebase opportunities in the Central region and drive activations and consumption
• Lead with outcomes for platform, data, and development teams to show faster feature delivery, better governance, and cost efficiency
• Manage complex sales cycles from discovery to negotiation and close with technical and business stakeholders
• Orchestrate POCs/Proof-of-Value validating OLTP, reverse ETL, and AI/ML workloads in collaboration with solution architects
• Differentiate Lakebase against legacy and cloud-native databases using assets, benchmarks, and customer references
• Collaborate cross-functionally to shape territory plans, launch plays, and co-sell motions with ISVs and GSIs
• Enable field teams by sharing best practices and success stories to scale Lakebase proficiency across Databricks

• 8+ years of enterprise SaaS sales experience with consistent quota attainment
• Proven success selling data platforms or operational databases to technical and business buyers
• Strong understanding of modern data architectures, cloud-native services, and AI/analytics strategies
• Ability to sell to both technical and business stakeholders
• Experience leading specialist or overlay motions with Account Executives
• Executive presence for whiteboarding architectures and C-level conversations
• Strong value selling, negotiation, and storytelling skills
• Bachelor’s degree or equivalent practical experience

• Executive presence
• Strong communication and storytelling
• Negotiation
• Postgres and other operational databases (OLTP)
• Cloud-native databases and DBaaS
• Data platforms and lakehouse concepts