Databricks
Mid
Forward Deployed Engineer at Databricks (Seoul) — owning production data/AI architecture for enterprise customers
Databricks is hiring a Korea-based Forward Deployed Engineer to embed with enterprise customers and own the architecture, design, and hands-on build of production data and AI systems on the Databricks platform. The interview centers on Spark internals, cloud architecture judgment, and the customer-facing communication needed to lead technical delivery under a Korean-fluency requirement.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Distributed computing with Apache Spark and Spark runtime internals
- End-to-end architecture: data pipelines + ML/AI model integration + user-facing apps
- Multi-cloud fluency (AWS/Azure/GCP) with deep expertise in at least one
- CI/CD for production deployments
- Customer-facing technical delivery: scoping, stakeholder management, documentation/whiteboarding
- Bilingual (Korean/English) communication across technical and executive audiences
Common question themes
Design an end-to-end data + AI architecture for an enterprise customer — defend your Spark and cloud choices
Tell me about a time you diagnosed a Spark performance or reliability issue in a customer's production environment
How do you scope a technical engagement with an engagement manager when customer requirements are vague
Describe how you've built a reusable accelerator or framework from a single customer project
How do you communicate a complex technical tradeoff to both a customer's engineering team and their executives
Walk me through managing conflicting priorities across multiple enterprise stakeholders