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Forward Deployed Engineer (Korea)

Databricks · Seoul

Senior 🇬🇧 English
Python Scala JavaScript TypeScript AWS Azure GCP Apache Spark MLOps CI/CD Databricks

Job description

About the role

Databricks is hiring a Forward Deployed Engineer (FDE) in Seoul. As an FDE you work with customers to build and productionize solutions to their data and AI challenges using the Databricks platform, owning the architecture, leading design decisions and implementing end-to-end systems spanning data engineering, AI and application development. The role reports to the Director, FDE in Korea, and involves travel to customers about 20% of the time.

Key responsibilities

  • Deliver production-grade systems, reference architectures, custom applications and data ingestion and ML/AI model integration
  • Guide strategic customers through big data and AI projects, from end-to-end design and build to deployment
  • Lead architecture and design decisions so solutions are secure, scalable and aligned with customer needs and Databricks best practices
  • Embed with customer teams, from technical staff to executives, to understand challenges and deliver impact
  • Contribute accelerators, frameworks and best practices that scale across accounts and influence the product roadmap
  • Provide product and implementation feedback to Engineering and Customer Support and help resolve engagement-specific issues quickly

Required profile

  • 7+ years of experience in data engineering, data platforms and analytics, or software engineering
  • Experience with technical project delivery, managing scope, timelines and measurable outcomes
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Native-level fluency in Korean and professional written and spoken English
  • Curiosity and adaptability, with a willingness to learn new technologies for Databricks-based solutions

Required skills

  • Code in Python, Scala, JavaScript/TypeScript and modern frameworks
  • Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP)
  • Apache Spark and its runtime internals
  • CI/CD for production deployments
  • MLOps, ML/AI models and AI APIs
  • Documentation and white-boarding skills
  • Databricks certification

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Published 2주 전

Expires 1개월 후

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Databricks

Seoul