Sr. Forward Deployed Engineer - FDE (Fullstack)

Engg; Zürich; Vor Ort; CHF 140.000 - 180.000; Vollzeit

Zusammenfassung

Databricks is seeking a Sr Forward Deployed Engineer to design, build, and productionize end-to-end data and AI solutions on the Databricks platform. You will own the architecture, drive design decisions, and work directly with customers to deliver measurable business impact.

You’ll apply data engineering and software skills across data pipelines, ML/AI models, and user-facing interfaces while coordinating with engineering, product, and developer relations teams. 20% travel expected.

Qualifikationen

• 6+ years in data engineering, data platforms or software engineering.
• Experience with Python, Scala, or JavaScript/TypeScript.
• Knowledge of two or more cloud ecosystems (AWS/Azure/GCP) with deep expertise in at least one.

Aufgaben

• Own architecture and lead design decisions for end-to-end data/AI solutions on Databricks.
• Work hands-on to build, productionize, and integrate with client systems.
• Collaborate across engineering, product, and customer teams to deliver measurable outcomes.
• Travel to customer sites about 20% of the time.

Kenntnisse

Data engineering

Python/Scala/TypeScript

Cloud platforms (AWS/Azure/GCP)

Spark/Distributed computing

CI/CD

MLOps

Enterprise client delivery

Documentation & white-boarding

Tools

Databricks

Spark runtime internals

CI/CD tooling

Jobbeschreibung

CSQ427R397 As a Sr Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.

Travel to customers 20% of the time

Databricks Certification About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

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 click here .

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.