Forward Deployed Engineer
Databricks Mosaic · Seoul, South Korea
CHECKED 13H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Build and productionize end-to-end data and AI solutions for customers.
- Own architecture for strategic big data and AI transformations.
- Embed with customer teams to drive measurable business impact.
Ideal candidate
Builder with 7+ years experience who thrives at the intersection of technology and business impact, combining customer empathy, curiosity, and adaptability to solve complex problems with measurable outcomes.
Requirements
- 7+ years experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in Python, Scala, JavaScript/TypeScript and modern frameworks
- Working knowledge of two or more clouds (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing using Apache Spark including runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Experience designing and deploying production end-to-end data architectures combining pipelines, ML/AI and interfaces
- Experience delivering technical projects, managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills with enterprise client stakeholder management
- Native-level fluency in Korean and professional working proficiency in English
- Willingness to travel to customers 20% of the time
- Databricks Certification
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration