Staff Technical Solutions Engineer, Spark

• As a Spark Staff Technical Solutions Engineer, you will provide a deep dive technical and consulting related solutions for the challenging Apache Spark/ML/AI/Delta/Streaming/Lakehouse reported issues by our customers and resolve any challenges involving the Databricks unified analytics platform with your highly comprehensive technical and customer communication skills.
• You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realize value and achieve their strategic objectives using our products.
• OutcomesPerforming initial level analysis and troubleshooting issues in Apache Spark using Spark UI metrics, DAG, Event Logs for various customer reported job slowness issues.
• Troubleshoot, resolve and suggest deep code-level analysis of Spark to address customer issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features.
• Assist the customers in setting up reproducible spark problems with solutions in the areas of Spark SQL, Delta, Memory Management, Performance tuning, Streaming, Data Science, Data Integration areas in Spark.
• Contribute in the development of tools/automation initiatives.
• Participate in the Designated Solutions Engineer program and drive one or two of strategic customers day to day Spark and Cloud issues.
• Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers.
• Provide front line support on the third party integrations with Databricks environment.
• Plan and coordinate with

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