Sr. Solutions Engineer

<p><strong>The Role</strong></p> <p>As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.</p> <p><strong>The Impact You Will Have</strong></p> <ul> <li>Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning</li> <li>Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins</li> <li>Own frontline technical relationships with customer engineers, data teams, and technical leads</li> <li>Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption</li> <li>Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations</li> <li>Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community</li> </ul> <p><strong>What We Look For</strong></p> <ul> <li>4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role</li> <li>Proficient in Python and PySpark/Spark with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage</li> <li>Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)</li> <li>Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)</li> <li>Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews</li> <li>Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics</li> <li>Strong presentation and demo skills — you will build and present a live solution during the interview</li> <li>Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)</li> </ul> <p><strong><br></strong><strong>Nice to Have:</strong></p> <ul> <li>Databricks certification or experience with the Databricks Platform</li> <li>Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow</li> <li>Background at a