Solutions Engineer
About this role
FEQ227R20
At Databricks, we help organizations unify their data, analytics, and AI on one platform. Our mission is to simplify how teams work with data and accelerate innovation. As a Solutions Engineer, you’ll partner with customers to solve real-world data challenges by combining technical expertise with business context to demonstrate what’s possible on the Databricks Data Intelligence Platform. You’ll join through our Launchpad program, a structured onboarding experience designed to help you ramp quickly and build confidence in customer-facing work.
The impact you will have:
Help customers realize the value of the Databricks Data Intelligence Platform as a trusted technical partner to account teams
Progress through FE Launchpad from structured learning and shadowing to independently leading customer engagements
Build demos and prototypes across data engineering, analytics, and AI/GenAI to solve real customer problems
Partner with Account Executives, Solutions Architects, and cross-functional teams to shape customer architectures and drive lakehouse and Lakebase adoption
Grow through certifications, bootcamps, and mentorship, and share your learning with your cohort and the broader FE community
What we look for:
Professional proficiency (written and spoken) in English, German, and Turkish to support customer engagements in the region
Early-career professionals with ~2 years of experience in data engineering, software engineering, AI/ML, or a related field who are interested in customer-facing technical roles
A strong technical foundation (STEM degree or equivalent experience) and curiosity about modern data architectures, AI applications, and real-time analytics
Interest in working with customers; running discovery, understanding challenges, and explaining technical concepts clearly to both technical and business audiences
Clear communication skills, strong collaboration, and a growth mindset suited to a cohort-based learning environment
Ownership mindset: you take initiative, build, and iterate on ideas (e.g., demos, apps, or MVPs)
Foundational familiarity with cloud platforms such as AWS, Azure, or GCP
Exposure to Databricks or cloud certifications
Responsibilities
- Help customers realize the value of the Databricks Data Intelligence Platform as a trusted technical partner to account teams
- Progress through FE Launchpad from structured learning and shadowing to independently leading customer engagements
- Build demos and prototypes across data engineering, analytics, and AI/GenAI to solve real customer problems
- Partner with Account Executives, Solutions Architects, and cross-functional teams to shape customer architectures and drive lakehouse and Lakebase adoption
- Grow through certifications, bootcamps, and mentorship, and share your learning with your cohort and the broader FE community
- Professional proficiency (written and spoken) in English, German, and Turkish to support customer engagements in the region
- Early-career professionals with ~2 years of experience in data engineering, software engineering, AI/ML, or a related field who are interested in customer-facing technical roles
Requirements
- A strong technical foundation (STEM degree or equivalent experience) and curiosity about modern data architectures, AI applications, and real-time analytics
- Interest in working with customers; running discovery, understanding challenges, and explaining technical concepts clearly to both technical and business audiences
- Clear communication skills, strong collaboration, and a growth mindset suited to a cohort-based learning environment
- Ownership mindset: you take initiative, build, and iterate on ideas (e.g., demos, apps, or MVPs)
- Foundational familiarity with cloud platforms such as AWS, Azure, or GCP
- Exposure to Databricks or cloud certifications
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.