Sr Designated Support Engineer

P-1448

Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.

The Impact You Will Have

• Manage large strategic accounts to provide a high-touch support experience.

• Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks.

• Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg).

• Project manage all open support cases to expedite support ticket closure.

• Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution.

• Directly engage on business-impacting situations and ensure recovery of functionality for the customer.

• Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues.

• Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems.

• Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities.

• Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders.

• Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools.

What We Look For

• Minimum 3 years of dedicated experience in Data Engineering, building, deploying, and maintaining large-scale data pipelines.

• Minimum 3 years’ experience designing, developing, testing, and sustaining Python/Java/Scala-based applications required.

• Deep, architectural knowledge of Apache Spark internals (including Drivers, Executors, Core Memory Management, DAGs, Catalyst Optimizer, and Tungsten execution engine).

• Proven track record of troubleshooting complex Spark and big data issues, such as data skew, out-of-memory (OOM) errors, serialization issues, and slow-running broadcast joins.

• Highly effective with project managing multiple tasks and work streams, driving them to conclusion.

• Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.

• Excellent executive presence. You are an excellent communicator (written and verbal skills),