Databricks
ForwardDeploymentEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Forward Deployment Engineer at Databricks. Skills: Architecture, Application Engineering, Solution Delivery, Customer Immersion, Cross-Functional Collaboration, Reusable Assets & Scale. 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 implement end-to-end systems spanning data engineering, AI, and application development”
What You'll Achieve.
Drive measurable outcomes; Deliver impact
Industry & Context.
Solving complex problems that drive measurable outcomes
What They're Looking For.
Must Have
7+ Years of Experience, Native-level fluency in Korean, Professional working proficiency in English (both written and verbal)
Nice to Have
Production-Grade Delivery, Experience leveraging AI code generation tools to accelerate productivity
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
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, translating complex concepts into actionable solutions
Communication Scope
Translating complex concepts into actionable solutions
Full Job Description
CSQ427R142 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: 7+ Years of Experience: A proven track record with at least 7 years of professional experience in Data Engineering, AI System Design, or Software Development. Production-Grade Delivery (Preferred): Extensive experience in developing and
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