CSQ226R145
As a Backline Technical Solutions Engineer you will help our customers to be successful with the Databricks platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Manager of the Backline Escalations Team.
The impact you will have:
- Troubleshoot and resolve complex customer issues related to the Databricks Unified Analytics Platform by analyzing the core component metrics and logs.
- Provide suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback.
- Help the support team with detailed troubleshooting guides and runbooks.
- Contribute to automation and tooling programs to make daily troubleshooting efficient.
- Partner with the engineering team and spread awareness of upcoming features and releases.
- Identify and contribute supportability features back into the product.
- Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
- Participate in weekend and weekday on-call rotation.
What we look for:
- Minimum 6 years' experience in supporting a cloud, database or big data product.
- Expert in two of the below areas and has experience with the rest of them:
- SQL
- Linux/OS troubleshooting
- AWS, Azure or GCP related services
- Big Data/Spark/Other distributed systems
- Python or Java.
- Comfortable with black box troubleshooting.
- Bachelor's degree in Computer Science or a related field is required.
- Business Japanese and English proficiency are required.
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, please visit https://www.mybenefitsnow.com/databricks.
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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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
