Als Solutions Engineer combineer je technische expertise met zakelijke context om klanten te helpen bij het oplossen van data-uitdagingen met behulp van Azure, AWS, Databricks en Spark. Deze rol biedt de kans om innovatieve data- en AI-oplossingen te ontwikkelen, waardoor je een directe impact hebt op klantresultaten en de adoptie van moderne data-architecturen bevordert.
Functiebeschrijving
FEQ227R79 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 in English and French (written and spoken) 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 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 . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks . &l