Senior Solutions Engineer

About the role

As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You will combine technical depth with customer-facing skills to drive Databricks adoption while working with Account Executives to develop technical strategies that expand platform usage.

Responsibilities

• 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 to the broader SA community

Required skills

• Python
• SQL
• Data engineering
• Solutions architecture
• Technical pre-sales
• Cloud platforms
• Distributed data systems
• Apache Spark
• Delta Lake
• Data science
• MLOps
• Presentation skills

Nice to have

• Databricks Platform
• Unity Catalog
• Lakeflow Spark Declarative Pipelines
• MLflow

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline
• Equivalent practical experience

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.