Role at a glance
- Salary
- Not Disclosed
- Location
- Japan - Tokyo
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications.
- Education
- Technical degree or the equivalent experience.
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Senior Technical Solutions Engineer provides technical support for Databricks Platform issues and helps customers use the unified analytics platform to achieve their strategic goals. The role works with customer environments and internal engineering and escalation teams to resolve issues across the Big Data ecosystem.
What You'll Do
- Troubleshoot and resolve complex customer issues related to the 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 the Databricks environment
- 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
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong experience with SQL-based databases; Linux/Unix administration skills; hands-on experience with AWS, Azure or GCP; experience with Distributed Big Data Computing environments; written and spoken proficiency in both Japanese and English.
Required
- 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications
- Strong experience with SQL-based database
- 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
Preferred
- Expert level knowledge in python
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1509
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.