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Sr. Designated Support Engineer, Apache Spark™

Databricks· Engineering
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Hybrid (São Paulo, Brazil)full-timePosted 4w ago

About the role

Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with strong Apache Spark technical foundation and customer engagement skills. This hybrid role in São Paulo focuses on high-touch, proactive support for strategic customers, managing critical issues and coordinating with internal teams to ensure rapid, effective resolutions.

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.
  • 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.

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).
  • Proven track record of troubleshooting complex Spark and big data issues (data skew, out-of-memory errors, serialization issues, slow broadcasts).
  • Strong project management skills across multiple tasks and work streams.
  • Analytical and problem-solving abilities in a Distributed Big Data Computing environment.
  • Excellent written and verbal communication, with ability to translate technical ideas to non-technical stakeholders.
  • Customer-facing experience in Support Engineer, Technical Account Manager, DSE, or related production support roles preferred.
  • Mandatory bilingual proficiency in English and Portuguese (full professional fluency).

Skills

Required:Data EngineeringSpark expertisePython/Java/ScalaCommunication

Benefits

  • See regional benefits linked in the job posting (specifics not provided in text).
Last updated Oct 1, 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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