About the job
Join Databricks as a Forward Deployed Engineer (FDE), where you’ll work closely with our most strategic clients to create and implement tailored full-stack applications and solutions on the Databricks Data Intelligence Platform along with various software stacks. You’ll take charge of architecture, guide design decisions, and deploy comprehensive systems that encompass data engineering, AI, and application development.
This is a dynamic, hands-on role ideal for software engineers and developers who excel at the intersection of technology and business impact. The perfect candidate possesses a unique blend of technical proficiency, adaptability, inquisitiveness, and a fervor for tackling complex challenges that yield measurable results.
Your Impact:
- Architecture Ownership: Lead the architectural and design choices, ensuring solutions are secure, scalable, and meet both customer requirements and Databricks best practices.
- Application Engineering: Craft and develop applications that encompass backend, frontend, and integrations, transforming data and AI into tangible benefits for enterprise users on the Databricks platform.
- Solution Delivery: Deliver production-ready systems, managing everything from data ingestion and transformation to the integration of ML/AI models and user-facing applications.
- Customer Engagement: Integrate with customer teams, collaborating with stakeholders from technical contributors to executives to gain deep insights into their challenges and deliver impactful solutions.
- Cross-Functional Collaboration: Work alongside Sales, Product, and Field Engineering teams to guarantee a smooth customer experience from pre-sales through to post-deployment.
- Asset Reusability & Scalability: Contribute to accelerators, frameworks, and best practices that amplify impact across accounts and shape the Databricks product roadmap.
What We Seek:
- Engineering Expertise: Solid background in software engineering with experience across backend, frontend, and systems integration. Proficient in Python, SQL, Java/Scala, JavaScript/TypeScript, and contemporary frameworks.
- Application Delivery Skills: Proven ability to design, build, and deploy production applications integrating data pipelines, ML/AI models, and user-facing interfaces.
- AI/ML Proficiency: Experience with AI APIs like OpenAI, Anthropic, and Gemini and utilizing AI code generation tools to enhance productivity.
- Customer-Focused Impact: Documented success in delivering technical solutions within enterprise contexts that produce measurable outcomes.
- Collaborative & Communicative: Capability to engage effectively across diverse teams.

