CSQ127R113
About the Team
The Databricks Professional Services Team’s mission is to accelerate our customers’ outcomes and Databricks Lakehouse adoption through delivery excellence and enablement. We do so by accelerating and de-risking production projects by bringing our best practices and leading service offerings. We take a Partner first approach to scaling our customer impact. The team is made up of experts in Engagement Management for high value proposals to Project Managers who ensure successful delivery, to technical experts including Resident Solution Architects, Solution Consultants and Data Scientists. We are building the best Data and ML team in the Industry to solve the world's toughest problems surrounding data and AI.
Role Description
As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, machine learning, and application development.
This is a hands-on, customer-facing role for engineers who thrive at the intersection of technology and business impact. The ideal candidate combines deep engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.
What You’ll Do
- Fullstack Application Engineering: Design and develop custom applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users.
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to define clear rules of engagement and ensure a seamless customer journey from pre-sales through post-deployment.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
- Curiosity & Adaptability: Rapidly learn new customer domains, iterate on evolving objectives, and pivot solutions as needs change.
Requirements
- Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
- Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
- AI/ML Experience: Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and integrating AI into applications.
- Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
- Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
- Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.
Ability and interest to travel up to 25%, as needed to client sites.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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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