Staff Backline Engineer (Spark)

Mission

Databricks helps data teams solve the world’s toughest problems. As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition Databricks is venture-backed and founded by the original creators of popular open source projects: Apache Spark™, Delta Lake and MLflow.

As a Staff Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Senior Backline Manager of the Backline Escalations Team.

Outcomes

• Troubleshoot, resolve and suggest deep code-level analysis of Spark to address complex customer issues related to Apache Spark™ core internals, Spark SQL, Structured Streaming and Databricks Delta.


• Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers.


• Help the support team with detailed troubleshooting guides and runbooks.


• Contribute to automation and tooling programs to make daily troubleshooting efficient.


• Work with the Spark Engineering Team and spread awareness of upcoming features and releases.


• Identify Spark bugs and suggest possible workarounds.


• Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests


• Participate in weekend and weekday on call rotation.

Competencies

• 12+ years of industry experience developing, testing, and sustaining Python or Java or Scala-based applications.


• Comfortable with compiling, building and navigating the Apache Spark source code.


• Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code.


• Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines.


• Hands-on experience with SQL-based database systems.


• Experience in JVM, GC, Thread dump-based troubleshooting is required.


• Experience with AWS or Azure related services.


• Bachelor's degree in Computer Science or a related field is required.

Why Join Us?

• Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.


• Career Growth: Opportunities for professional development and career advancement.


• Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.