As a Sr. Solutions Engineer at Databricks, you will lead technical engagements for customers, focusing on data engineering, analytics, and machine learning. You will work with a collaborative team to create customized solutions that drive platform adoption and help customers solve complex data challenges. Your role will involve building proofs-of-concept and delivering live demonstrations of the Databricks Platform. You will also develop technical strategies in partnership with Account Executives to expand platform usage.

• 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
• Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code
• Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
• Working knowledge of distributed data systems such as Apache Spark™, Delta Lake, or equivalent
• Experience leading technical customer conversations including discovery and architecture reviews
• Familiarity with data engineering, data science/ML, or SQL analytics
• Strong presentation and demo skills
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

• Independently lead technical discovery and solution design for customer workloads
• Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform
• Own frontline technical relationships with customer engineers and data teams
• Develop account-level technical strategies in partnership with your Account Executive
• Navigate competitive landscapes by articulating Databricks differentiation through demonstrations
• Contribute reusable technical assets to the broader Solutions Architect community