Sr. Solutions Engineer

FEQ327R37

At Databricks, a customer-centric mindset and a culture of proactiveness guide everything we do. We build a unified platform that makes data and AI accessible to everyone, turning insights into action. You will be an essential part of this mission, using your technical and business expertise to demonstrate how our Data Intelligence Platform helps customers solve complex data challenges. You'll join a collaborative team that values innovation, creativity, and continuous improvement — building customised solutions that drive real business outcomes. Join us in our quest to change how people work with data!

The impact you will have:

• Form successful relationships with clients throughout your assigned territory, delivering technical and business value alongside an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through workshops, seminars, and meet-ups.
• Become a trusted Big Data Analytics advisor by authoring reference architectures, how-tos, and demo applications.
• Take ownership of your running projects, driving them forward with basic project management discipline and a strong sense of accountability.
• Develop both technically and in pre-sales with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Ability to work with clients, create a compelling narrative, identify pain-points, and independently deliver technical propositions that drive tangible business value — building toward a trusted advisor skillset.
• A desire to deeply understand business challenges and provide value-driving technical solutions to address them.
• Proficiency in a core programming language such as Python, Java, or Scala.
• Builder mindset with a passion for quick prototyping; first experiences in vibe coding are a plus.
• Knowledgeable in a core Big Data Analytics domain with exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Joy in drilling deeper on tough technical questions and solution architecture while always keeping the big picture in mind.
• Experience in the delivery of retail industry projects is a strong plus.
• Spikes in production-grade SQL/DWH or ML/AI are advantageous.
• Fluency in German is a strong advantage.