# Staff Designated Support Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Sydney, Australia
**Role:** Support Engineering
**Experience:** 10+ years
**Skills:** Spark, Python, Java, Scala, SQL, Data Lakes, Snowflake, Amazon Redshift, BigQuery, Delta Lake, Apache Iceberg, Jvm, Machine Learning, Generative AI, AWS
**Posted:** 2026-09-02

> Provides advanced, customer-facing technical support for strategic data and AI customers, troubleshooting distributed Spark environments and delivering tailored solutions. Requires 10+ years in distributed computing, deep Spark expertise, cloud and CI/CD experience, and strong customer-facing communication skills.

## Job Description

## 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.

## Similar jobs

- [Staff Designated Support Engineer](https://hotfix.jobs/jobs/79f2515f-49a2-44a3-b980-9c240f556e0a) - Databricks - Sydney, Australia
- [Senior Designated Support Engineer](https://hotfix.jobs/jobs/a5f94645-ee95-426e-87f8-1ed8704ff427) - Databricks - Sydney, Australia
- [Senior Supply Chain Specialist](https://hotfix.jobs/jobs/5afb4bbd-8e98-4d88-ba49-82c8ed5533cb) - OpenLoop - Remote
- [Director, Global Premier Support](https://hotfix.jobs/jobs/4a283683-0b5f-4a1f-88bc-bf84f47f579c) - Databricks - Sydney, Australia
- [Customer Support Engineer](https://hotfix.jobs/jobs/bfab0fd9-d5d8-44f4-a3aa-b9fae7f70cf2) - PlanetScale - Remote

**Apply:** https://hotfix.jobs/jobs/d98fc8c8-4353-4e08-8e8a-beb2149c1857
**Canonical:** https://hotfix.jobs/jobs/d98fc8c8-4353-4e08-8e8a-beb2149c1857