As a Sr. Solutions Engineer at Databricks, you will lead technical engagements for customers, focusing on discovery, solution design, and platform demonstrations. This role combines technical expertise with customer-facing skills to drive the adoption of the Databricks platform. You will develop strategies to expand platform usage within Digital Native customers while building strong relationships with customer engineers and data teams. Your contributions will include creating reusable technical assets and navigating competitive landscapes through effective demonstrations.

• 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, data teams, and technical leads
• Develop account-level technical strategies in partnership with your Account Executive
• Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
• Contribute reusable technical assets to the broader Solutions Architect community