Sr. Technical Solutions Engineer - Platform (Support)
Provide technical support for Databricks Platform issues and assist customers in achieving their strategic goals.
Requirements
- Experience
- 4+ years
- Education
- Bachelor's degree
Joblaze summary
In the role of Senior Technical Solutions Engineer at Databricks, the individual will focus on troubleshooting and resolving complex issues related to the Databricks platform while providing guidance to customers on best practices and performance improvements. Key skills include expertise in Python, SQL, and experience with cloud platforms like AWS or Azure, alongside a solid understanding of distributed big data computing. This position is ideal for someone with over four years of relevant experience and proficiency in both Japanese and English. Databricks emphasizes customer advocacy and offers opportunities for continuous learning within a diverse and inclusive environment.
Joblaze insights
- Listed 2 days ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 860 other open roles including Staff Designated Support Engineer, Senior Designated Support Engineer, Senior Forward Deployed Engineer.
- 2641 active Python roles on Joblaze right now.
- 1181 active AWS roles on Joblaze right now.
- 1091 active SQL roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$192,000 (median $160,000, across 1569 roles). See Python salary trends
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Sr. Technical Solutions Engineer - Platform (Support) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Big Data, GCP, Java, Linux.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Technical Solutions Engineer - Platform (Support) role at Databricks.
From the original posting
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.
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