# Senior Designated Support Engineer, Apache Spark™

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Amsterdam, Netherlands
**Role:** Support Engineering
**Experience:** 3+ years
**Skills:** Spark, Data Engineering, Python, Java, Scala, Etl/Elt, Data Modeling, Databricks Lakehouse, Delta Lake, Apache Iceberg, Spark Ui, Catalyst Optimizer, Tungsten Execution Engine, Dags, Distributed Computing
**Posted:** 2026-08-11

> Provides high-touch technical support for strategic customers by resolving complex Apache Spark and data engineering issues, managing critical cases, and coordinating with internal teams. Requires at least three years of data engineering and application development experience plus strong customer communication and troubleshooting skills.

## Job Description

## Responsibilities
- Manage large strategic accounts and provide a high-touch support experience.
- Investigate complex Apache Spark and data engineering issues using Spark UI, thread dumps, and driver/executor logs.
- Advise customers on data engineering best practices, including ETL/ELT pipeline optimization, data modeling, and Databricks Lakehouse architecture.
- Project-manage open support cases and expedite ticket resolution.
- Coordinate with Engineering, Product, subject-matter experts, and Account teams to advance support cases.
- Engage directly during business-impacting incidents and restore customer functionality.
- Work with senior leadership and technical and functional staff to remove roadblocks, address delays, and mitigate issues.
- Review customer cases to identify trends and proactive optimization opportunities.
- Advocate for customers and chair stakeholder roundtables.
- Drive customer self-sufficiency by explaining Databricks Support processes and tools.

## Requirements
- At least 3 years of experience in data engineering, including building, deploying, and maintaining large-scale data pipelines.
- At least 3 years of experience designing, developing, testing, and sustaining applications in Python, Java, or Scala.
- Deep architectural knowledge of Apache Spark internals, including drivers, executors, core memory management, DAGs, Catalyst Optimizer, and Tungsten execution engine.
- Experience troubleshooting data skew, out-of-memory errors, serialization issues, and slow-running broadcast joins.
- Strong project management, analytical, and problem-solving skills in distributed big data computing environments.
- Excellent written and verbal communication skills, executive presence, and the ability to explain technical concepts to non-technical stakeholders.

## Nice to Have
- Customer-facing experience as a Support Engineer, Technical Account Manager, Designated Support Engineer, or in a related production support role.

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