Senior Scale Solution Engineer (Korean-speaking; English required)
Join Databricks as a Senior Scale Solution Engineer to empower customers with the Data + AI Platform in Tokyo.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 10 hours ago
What you'll build
- Own engagements across customer lifecycle
- Advise customers on the Databricks Data + AI Platform
- Build and improve AI-augmented workflows
- Work directly with multiple customers
- Set quality bar for the team
Must have
- Excellent communication and interpersonal skills
- 4+ years of experience in a technical role
- Deep knowledge of at least one cloud platform
- Knowledge of AI-driven development with Python or SQL
- Excellent written and verbal communication in Korean and English
Nice to have
- Databricks Certification
- Experience building AI tooling and automation
- Consulting or pre-sales experience
- Experience with agentic solutions
Requirements
- Experience
- 4+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior Scale Solution Engineer at Databricks, the individual will manage customer engagements throughout their lifecycle, ensuring a seamless experience from pre-sales to production. Key skills include expertise in cloud platforms like AWS, Azure, or GCP, along with proficiency in programming languages such as Python or SQL for developing AI-augmented workflows. This position is suited for professionals with over four years of technical experience in data, AI, or cloud environments, particularly those who can communicate effectively in both Korean and English.
Joblaze insights
- Listed yesterday — first seen on Joblaze September 28, 2026. Last confirmed on Databricks's careers page September 29, 2026.
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Senior Scale Solution Engineer (Korean-speaking; English required) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Python, SQL.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Scale Solution Engineer (Korean-speaking; English required) role at Databricks.
From the original posting
Req ID: CSQ327R200
Location: Tokyo, Japan
Senior Scale Solution Engineer
At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale.
The impact you will have:
- You will ensure customers have an excellent experience by independently owning engagements across their lifecycle.
- You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows.
- You will work directly with multiple customers concurrently and set the quality bar for the team.
What we look for:
- 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.
- 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
- Nice to have: Databricks Certification
- Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.
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