Databricks
data and AI
Sr.ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Forward Deployed Engineer at Databricks. Skills: fullstack applications and solutions on the Databricks Data Intelligence Platform, architecture and design decisions, backend, frontend, and integrations development, data ingestion and transformation, ML/AI model integration, user-facing applications. design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. Own the architecture, lead design decisions, and imp”
What You'll Achieve.
drive measurable outcomes; deliver impact
Industry & Context.
passion for solving complex problems that drive measurable outcomes
What They're Looking For.
Must Have
background in software engineering with experience across backend, frontend, and systems integration, Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks, Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces, Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, leveraging AI code generation tools to accelerate productivity, Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes, Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions
Nice to Have
Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges
What You'll Do.
design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks
lead design decisions
and implement end-to-end systems spanning data engineering
and application development
Lead architecture and design decisions
ensuring solutions are secure
and aligned with both customer needs and Databricks best practices
Design and develop applications spanning backend
bringing data and AI to life for enterprise users leveraging the Databricks platform
Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement
Embed with customer teams
engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
Contribute accelerators
and best practices that scale impact across accounts and influence the Databricks product roadmap
How You'll Work.
Team & Collaboration
Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment; Engage across a broad stakeholder range, from engineers to C-level executives
Communication Scope
Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions
Full Job Description
CSQ327R184 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 and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 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 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. What we look for: 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: D
Applying for this Sr. Forward Deployed Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Databricks?
Real rants from real employees. Read before you apply.