Req ID - FEQ227R20
At Databricks, we help organisations 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 realise 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
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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
