Databricks

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

Databricks
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1 day ago
Tokyo, JapanSenior

Responsibilities

  • Independently own customer engagements across the pre-sales, onboarding, and production lifecycle.
  • Provide technical direction and expert guidance on the Databricks Data + AI Platform.
  • Work directly with multiple customers concurrently and maintain a high quality bar for customer guidance.
  • Build and improve reusable AI-augmented workflows for scaled customer delivery.
  • Assess customer needs, foster relationships, address objections, and showcase the value of the Databricks platform.

Requirements

  • Bachelor's degree or higher in Computer Science, Information Systems, or a similar field, or relevant experience.
  • At least 4 years of experience in a technical role, preferably in data, AI, or cloud.
  • Deep knowledge of at least one of AWS, Azure, or GCP.
  • Knowledge of AI-driven development with Python or SQL, including building and extending AI-augmented workflows.
  • Understanding of end-to-end data analytics and data engineering workflows and their trade-offs.
  • Excellent written and verbal communication in Korean and English.
  • Strong communication, interpersonal, time management, and prioritization skills.
  • Databricks Certification is a preferred qualification.
  • Experience with AI tooling and automation, consulting or pre-sales, or agentic solutions is a bonus.

Benefits

  • Comprehensive benefits and perks are offered, with specific details varying by region.
  • The role is located in Tokyo, Japan.

Categories

Solutions Engineering
Databricks

About Databricks

10,000+ employees

Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.

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