Staff Designated Support Engineer

Databricks

about 1 year ago

San Francisco, CA, USA

Staff+ / Senior

H1B Sponsor

Base Salary

$142k - $251k/yr

Responsibilities

Perform advanced troubleshooting and root cause analysis for Spark and Databricks runtime features.
Discover requirements for continuous monitoring to optimize customer environments.
Build rapid proofs of concept and monitor solutions to address customer challenges.
Develop playbooks and maintain a knowledge base for Spark, ML, and AI workflows.
Train customer teams on performance tuning and best practices for Databricks features.
Pilot new best practices and collaborate with teams to enhance customer experience.
Advocate for customers in business review meetings and maintain trusted advisor relationships.
Collaborate with Field Engineering, Sales, and Product teams during customer engagements.

8–12 years of experience in designing and troubleshooting distributed computing applications.
4+ years of experience delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.
Hands-on expertise with Data Lakes, SQL-based databases, and cloud-based ETL tools.
Deep knowledge of Spark internals, Delta/Iceberg, and JVM optimization.
Practical experience with AWS, Azure, or GCP and CI/CD pipeline management.
3–5 years in customer-facing roles demonstrating strong communication and problem-solving skills.
Proven ability to anticipate and mitigate risks while planning solutions for production challenges.
Ability to work with cross-functional teams and create impactful documentation.

Amazon RedshiftApache SparkAWSAzureGoogle BigQueryGoogle Cloud PlatformJavaPythonScalaSnowflakeSQL