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Senior Designated Support Engineer

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Senior Designated Support Engineer in Australia

  • Databricks
  • Full time
  • Email
  • Sydney

Responsibilities

  • Perform advanced troubleshooting and root cause analysis for performance and reliability issues involving Spark, SQL, Delta, streaming, and Databricks runtime features.
  • Design monitoring requirements and collaborate with R&D and NOC teams to optimize customer environments.
  • Build rapid proofs of concept and test, deploy, and monitor solutions developed by Databricks Engineering.
  • Develop playbooks and maintain a knowledge base covering Spark, ML, and AI workflows.
  • Train customer engineering and business teams on performance tuning, debugging, and Databricks features.
  • Pilot best-practice programs, champion process improvements, and collaborate cross-functionally to improve customer experience.
  • Serve as a trusted advisor and primary technical point of contact, advocating for customers in business reviews.
  • Collaborate with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to resolve production-impacting issues.

Requirements

  • 5–8 years of experience designing, building, and troubleshooting distributed-computing applications.
  • At least 4 years of experience delivering production-scale Spark, ML, or AI solutions using Python, Java, or Scala.
  • Hands-on expertise with data lakes, SQL-based databases, and cloud data warehousing or ETL tools such as Snowflake, Redshift, and BigQuery.
  • Deep knowledge of Spark internals, Delta or Iceberg, JVM optimization, and memory management.
  • Proficiency with machine learning, deep learning, and generative AI ecosystems.
  • Practical experience with AWS, Azure, or GCP and with CI/CD pipelines, monitoring, and alerting systems.
  • 3–5 years of customer-facing experience in roles such as Technical Account Manager or Solutions Architect.
  • Ability to anticipate and mitigate risks, coordinate technical resources, collaborate with senior leadership, and create self-service documentation.

Benefits

  • Databricks offers comprehensive benefits and perks, with details varying by region.
  • The role includes collaboration onsite during customer engagements and technical presentations when required.

Databricks

Databricks develops a robust Data Intelligence Platform that empowers over 10,000 organizations globally to unify and democratize data, analytics, and AI. Designed for businesses looking to leverage the full potential of their data, Databricks stands out for its innovative solutions created by th...

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