senior services Support Engineer tech_leadership
$141,700 – $250,800
USD per year

About this role

Databricks is hiring a senior-level Support Engineer in the services function based in San Francisco, CA. The posting calls out experience with Python, Java, Scala, SQL. Compensation is listed at $141,700–$250,800 per year.

Role
Support Engineer
Function
services
Level
senior
Track
Tech leadership
Employment
Full-time
Location
San Francisco, CA
Department
Engineering

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Job description

from Databricks careers

P-1011

Job Location: San Francisco Bay Area, CA

As a Sr. Staff Technical Solutions Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.

The Impact You Will Have

  • Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.
  • Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments.
  • Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.
  • Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.
  • Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.
  • This is an excerpt. Read the full job description on Databricks careers →
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