Senior Scale Solution Engineer (Korean-speaking; English required)
Databricks3 days ago
Tokyo, JapanSenior
Responsibilities
- Own customer engagements independently across pre-sales evaluation, onboarding, and production.
- Advise multiple customers concurrently and ensure a high-quality customer experience.
- Serve as the technical expert and direction-setter for the Databricks Data + AI Platform.
- Build and improve reusable AI-augmented workflows for scaled customer delivery.
- Assess customer needs, address objections, demonstrate platform value, and foster customer relationships.
- Set the quality bar for the broader team.
Requirements
- A bachelor’s degree or higher in Computer Science, Information Systems, or a related field, or similar 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; experience with multiple cloud platforms is a plus.
- Knowledge of AI-driven development using 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, prioritization, customer-assessment, and relationship-building skills.
- Databricks Certification is preferred.
- Experience with AI tooling and automation, consulting or pre-sales, or agentic solutions is a bonus.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details provided for employees in Japan.
Tech Stack
Categories
Solutions Engineering
About Databricks
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.