Senior Scale Solution Engineer (Korean-speaking; English required)
AI in this role
Senior Scale Solution Engineer advising customers on the Databricks Data + AI Platform and building AI-augmented workflows.
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
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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
How we rate this
Senior Scale Solution Engineer (Korean-speaking; English required) at Databricks rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where pre sales was part of your work. What did you do?
- Tell me about a project where customer engagement was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Computing, Data Analytics, Pre Sales, Customer Engagement, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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