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Sr. Designated Support Engineer, Apache Spark™

Databricks· Engineering
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Amsterdam, Netherlands€0full-timePosted 3mo ago

About the role

Senior Designated Support Engineer/Premier Support Engineer with strong Apache Spark expertise, focused on high-touch engagement with strategic customers, issue triage, and proactive support to optimize Spark-based data architectures at Databricks.

Responsibilities

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

Qualifications

  • 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.
  • Deep, architectural knowledge of Apache Spark internals (Drivers, Executors, Core Memory Management, DAGs, Catalyst Optimizer, Tungsten execution engine).
  • Proven track record of troubleshooting complex Spark and big data issues (data skew, OOM errors, serialization issues, slow-running broadcast joins).
  • Strong project management skills across multiple tasks and work streams.
  • Demonstrated analytical and problem-solving abilities in distributed big data environments.
  • Excellent written and verbal communication, with ability to translate complex technical ideas for non-technical stakeholders.
  • Preference for customer-facing experience in roles like Support Engineer, Technical Account Manager, DSE, or related production support.

Skills

Required:Apache SparkData EngineeringPythonJava/ScalaCommunication
Nice to have:SQL

Benefits

  • Comprehensive benefits package (region-specific details available via provided link).
  • Benefits details: region-specific information link in job description.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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