Databricks
Senior Technical Solutions Engineer, Lakebase
Databricks, Mountain View, California, us, 94039
Senior Technical Solutions Engineer, Lakebase
Job ID: RDQ127R37
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Software Development
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While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Software Development
#J-18808-Ljbffr