How much experience is required?

At least 4 years of relevant experience for this Senior Technical Solutions Engineer (Platform) role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Unix, Java, Big Data, SQL, Python.

What seniority level is this role?

Databricks targets senior candidates for this position.

Senior Technical Solutions Engineer (Platform) at Databricks

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 guiding customers through their analytics journey. Key skills include expertise in Python, SQL, and experience with cloud services like AWS or Azure, alongside a solid understanding of distributed big data environments. 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 dynamic team.

Joblaze insights

Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
2358 active Python roles on Joblaze right now.
1250 active AWS roles on Joblaze right now.
1036 active SQL roles on Joblaze right now.

Quick facts

How much experience is required?: At least 4 years of relevant experience for this Senior Technical Solutions Engineer (Platform) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Unix, Java, Big Data, SQL, Python.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Technical Solutions Engineer (Platform) role at Databricks.

From the original posting

Req: CSQ127R172
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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

Senior Technical Solutions Engineer (Platform)

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