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.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- 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
常见提问方向
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
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