# Forward Deployment Engineer

**Company**: Databricks
**Location**: Seoul, South Korea
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8540455002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_db3a3a01-d57

## Description

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom full-stack 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.

Responsibilities:

- 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: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.

- AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.

- 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.

- Native-level fluency in Korean and professional working proficiency in English (both written and verbal)

## Skills

### Required
- Python
- SQL
- Java/Scala
- JavaScript/TypeScript
- modern frameworks
- data engineering
- AI
- application development
- customer-facing
- software engineering
- backend
- frontend
- systems integration

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8540455002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)