Forward Deployment Engineer
Databricks5 months ago
Seoul, Korea, SouthSenior
Responsibilities
- Own architecture and design decisions for secure, scalable customer solutions aligned with customer needs and Databricks best practices.
- Design and develop backend, frontend, and integration applications that bring data and AI to enterprise users.
- Deliver production-grade systems from data ingestion and transformation through ML/AI model integration, user-facing applications, and enablement.
- Embed with customer teams and engage stakeholders from technical individual contributors through executives to understand challenges and deliver impact.
- Partner with Sales, Product, and Field Engineering across the pre-sales and post-deployment customer journey.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap.
Requirements
- Strong software engineering background across backend, frontend, and systems integration.
- Proficiency in Python, SQL, Java or Scala, JavaScript or TypeScript, and modern frameworks.
- Demonstrated ability to design, build, and deploy production applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Familiarity integrating AI APIs such as OpenAI, Anthropic, and Gemini into applications and using AI code-generation tools.
- Proven record of delivering technical solutions in enterprise environments with measurable outcomes.
- Ability to communicate complex concepts to stakeholders ranging from technical contributors to C-level executives.
- Curiosity, adaptability, and willingness to explore new technologies, domains, and customer challenges.
- Native-level fluency in Korean and professional working proficiency in written and spoken English.
Benefits
- Comprehensive benefits and perks, with specific offerings varying by region.
Tech Stack
Categories
Forward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.