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Senior Scale Solution Engineer (Korean-speaking; English required)

Databricks· Engineering
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Tokyo, JapanFull-timePosted 3w ago

About the role

Senior Scale Solution Engineer acting as a technical anchor for scaled customer engagements across the lifecycle, focusing on the Databricks Data + AI Platform, building AI-augmented workflows and enabling the team to deliver high-quality guidance at scale.

Responsibilities

  • Independently own engagements across the customer's lifecycle from pre-sales evaluation through onboarding and production.
  • Be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows.
  • Work directly with multiple customers concurrently and set the quality bar for the team.

Qualifications

  • Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience.
  • 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field.
  • Deep knowledge of at least one cloud platform (AWS, Azure, or GCP); familiarity with more than one is a plus.
  • Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows.
  • Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs.
  • Excellent time management and prioritization skills.
  • Excellent written and verbal communication in Korean and English.
  • Nice to have: Databricks Certification
  • Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions.

Skills

Required:Communication and interpersonal skillsKoreanEnglishCloud platforms

Benefits

  • Comprehensive benefits and perks (region-specific details available via provided link)
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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