As a Sr. Solutions Engineer at Databricks, you will play a crucial role in leading technical engagements for customers, focusing on data engineering, analytics, and machine learning. You will utilize your technical expertise to design solutions and demonstrate the capabilities of the Databricks Platform. This position requires a blend of coding skills and customer-facing abilities to foster strong relationships with clients. You will work collaboratively with your team to drive platform adoption and help customers overcome complex data challenges.

• 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.

• 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 hands-on demonstrations.
• Contribute reusable technical assets to the broader Solutions Architect community.