RDQ127R37
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Lakebase related issues and resolve any challenges involving the Neon.com cloud-native Postgres service. 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 Lakebase OLTP ecosystem. You will report to a Manager of Technical Solutions.
The impact you will have:
- Troubleshoot and resolve complex customer issues related to Lakebase/Neon platforms
- Provide best practices support for custom-built solutions developed by Databricks customers
- Deliver suggestions for improving performance in customer-specific environments
- Coordinate root-cause analysis and resolution of high-complexity issues and informally assist peers with technical roadblocks and user escalations
- Work with APIs, REST payloads, REST endpoints, and third-party integrations to make recommendations to resolve user issues
- 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:
- Genuine desire to help customers
- 4+ years of experience in technical support roles for cloud products
- Experience designing, building, testing, and maintaining Python/Java/Scala/Golang based applications is desirable.
- Strong experience with SQL-based databases is required.
- Linux/Unix administration skills.
- Hands-on experience with AWS, Azure or GCP.
- The candidate must possess excellent English written and oral communication skills.
- You must have the ability to think on your feet, remain calm under pressure, and solve problems in real-time.
- Technical degree or equivalent experience.
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.
Top Skills
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.
