Synced from Greenhouse · Aug 20

Technical Solutions Engineer

DatabricksTokyo, JapanPosted Aug 20, 2026
Solutions EngineerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

869
Other open Databricks roles
Aug 20
Posted
Greenhouse
Applicant system
Job descriptionReq 8337391002

CSQ127R187
Location: Tokyo, Japan

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The Impact You Will Have

  • Troubleshoot and resolve complex customer issues related to Databricks platform
  • Provide best practices support for custom-built solutions developed by Databricks customers
  • Deliver suggestions for improving performance in customer-specific environments
  • Assist with issues around third-party integrations with Databricks environment
  • Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
  • Participate in the creation and maintenance of company documentation and knowledge articles
  • Be a true proponent of customer advocacy
  • Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
  • Participate in weekend and weekday on call rotation

What We Look For

  • 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
  • Strong experience with SQL-based database is required.
  • Linux/Unix administration skills.
  • Hands-on experience with AWS, Azure or GCP.
  • Experience with "Distributed Big Data Computing" environment.
  • Technical degree or the equivalent experience.
  • Written and spoken proficiency in both Japanese and English 

 

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

Based on publicly available information. LandEarly does not verify interview process details.

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Technical Solutions Engineer
Databricks · Tokyo, Japan
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