Staff Designated Support Engineer

Responsibilities

• Perform advanced troubleshooting and root cause analysis for Spark, SQL, Delta, and Streaming issues
• Build rapid POCs and deploy solutions to address customer challenges
• Develop playbooks and maintain a knowledge base for Spark, ML, and AI workflows
• Train customer engineering teams on performance tuning and debugging best practices
• Collaborate with Field Engineering, Sales, and Product teams to provide rapid solutions to production issues
• Act as a trusted advisor and primary technical point of contact for strategic customers

Requirements

• 8–12 years of experience in distributed computing applications
• 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala
• Hands-on expertise with Data Lakes, SQL databases, and Cloud Data Warehousing (Snowflake, Redshift, BigQuery)
• Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management
• Proficiency in AI ecosystems including Machine Learning and Generative AI
• Practical experience with AWS, Azure, or GCP and CI/CD pipelines
• 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect

About the Company

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.