Sr. Solutions Engineer

As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations.

The Impact You Will Have

• Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
• Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
• Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
• Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community

What We Look For

• 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 , live coding is a required interview stage
• 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: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
• Experience leading technical customer conversations , discovery, whiteboarding, architecture reviews
• Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
• Strong presentation and demo skills , you will build and present a live solution during the interview
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Databricks certification or experience with the Databricks Platform
• Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
• Background at a data/AI company, cloud provider, or technical consulting firm