Staff Designated Support Engineer

Responsibilities

• Provide high-touch, specialised technical support and tailored solutions for strategic Digital Native Business customers.
• Perform advanced troubleshooting and root-cause analysis for performance and reliability issues across Spark, SQL, Delta, streaming, and Databricks Runtime features.
• Use Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs to diagnose complex product issues.
• Define continuous-monitoring requirements and collaborate with R&D and NOC teams to optimise customer environments.
• Build rapid proofs of concept; test, deploy, and monitor solutions developed by Databricks Engineering.
• Develop playbooks and maintain a knowledge base for Spark, ML, and AI workflow issues and solutions.
• Train customer engineering and business teams on performance tuning, debugging, and Databricks features.
• Pilot best-practice programs, improve processes, and collaborate cross-functionally to enhance customer experience.
• Act 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.

Requirements

• 10+ years of experience designing, building, and troubleshooting distributed computing applications.
• 4+ years delivering production-scale Spark, ML, or AI solutions using Python, Java, or Scala.
• Hands-on expertise with data lakes, SQL databases, and cloud data warehousing or ETL tools.
• Deep knowledge of Spark internals, Delta or Iceberg, JVM optimisation, and memory management.
• Experience with machine learning, deep learning, and generative AI ecosystems.
• Practical experience with AWS, Azure, or Google Cloud.
• Experience building and managing CI/CD pipelines, monitoring, and alerting systems.
• 3–5 years of customer-facing experience in roles such as Technical Account Manager or Solutions Architect.
• Strong communication, relationship-building, problem-solving, collaboration, and documentation skills.
• Ability to anticipate and mitigate risks, coordinate team efforts, and drive customer success.

Nice to Have

• Experience supporting large-scale production environments and strategic enterprise customers.
• Experience delivering technical presentations and training customer teams.