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Databricks

Mid

Solutions Architect at Databricks (Seoul) — technical pre-sales and adoption of the Data Intelligence Platform for Korean enterprise clients

This is a customer-facing Field Engineering role based in Seoul, pairing with Account Executives to drive technical adoption of the Databricks Data Intelligence Platform across an assigned territory. The JD asks for coding experience in a core language (Python, Java, or Scala) with willingness to learn Spark, hands-on big data analytics and public cloud platform experience, and the ability to run complex proofs-of-concept and scope solution architectures for varied technical audiences. Native-level Korean is required, with English as a plus, reflecting the market-facing nature of the role.

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What this interview tests

  • Running technical proofs-of-concept and use-case discovery with enterprise customers
  • Scoping and presenting solution architecture to audiences with varying technical depth
  • Hands-on coding in Python, Java, or Scala, with willingness/aptitude to learn Spark
  • Big data analytics and public cloud platform experience
  • Partnering with Account Executives to drive technical and business value in a sales motion
  • Scaling expertise via reference architectures, workshops, and community building in-region

Common question themes

Walk through a proof-of-concept you scoped and delivered for a customer, including the outcome

Describe explaining the same technical solution to both an engineer and a business stakeholder

Tell me about a customer technical objection you had to address on the spot

How would you approach use-case discovery with a new enterprise account with no prior data platform

Describe a time you turned a one-off solution into a reusable reference architecture or workshop

How do you partner with an Account Executive to move a technical evaluation toward a business decision

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