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About the Role
As a Senior Scale Solution Engineer at Databricks, you will be a technical anchor for our scaled customer motion, advising customers through their lifecycle from pre-sales evaluation through onboarding and into production. You will independently tackle complex engagements and develop AI-augmented workflows to enhance team guidance delivery at scale.
Responsibilities
- Ensure customers have an excellent experience by independently owning engagements across their lifecycle.
- Serve as 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.
Requirements
- 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 of the following cloud platforms: 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.
Skills
- Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform.
- Databricks Certification (Nice to have)
- Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions (Bonus)
Location
- Tokyo, Japan
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Undergraduate degree or higher
Benefits
- Comprehensive benefits and perks that meet the needs of all of our employees.
About the Company
- Databricks is the Data and AI company.
- More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
- Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Follow Databricks on LinkedIn, X, YouTube, and Instagram.
Equal Opportunity
- At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
- We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
- Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.