Staff Designated Support Engineer

Triwill Group; San Francisco (CA); On-site; AUD 180,000 - 240,000; Full time

Job summary

Databricks is seeking a Staff Designated Engineer to partner with Field and Engineering teams, delivering tailored technical solutions for Databricks' largest customers in the DNB segment. Leverage Spark and data technologies to triage and resolve complex issues and unblock critical challenges for customer environments.

You will collaborate with R&D, NOC, and cross-functional teams, build rapid POCs, write playbooks, and train customer engineers on performance tuning and best practices.

Qualifications

• 10+ years in designing and troubleshooting distributed applications.
• 4+ years delivering production Spark/ML/AI solutions using Python, Java, or Scala.
• Hands-on expertise with Data Lakes, SQL-based databases, and cloud data warehousing/ETL tools like Snowflake, Redshift, BigQuery.
• Strong communication and ability to work with senior leadership so complex issues are understood.

Responsibilities

• Perform advanced troubleshooting and root-cause analysis for Spark, SQL, Delta, and Databricks runtime.
• Collaborate with R&D and NOC teams to optimise customer environments for monitoring.
• Build rapid POCs and monitor deployments addressing customer challenges.
• Develop playbooks and knowledge base for Spark, ML, and AI workflows.
• Train customer teams on performance tuning, debugging, and best practices.
• Pilot new processes and drive cross-functional improvements.
• Advocate for customers in business reviews as the technical lead contact.
• Collaborate onsite with Field Engineering, Sales, and Product during engagements.

Skills

Spark

Big Data

Python/Java/Scala

Troubleshooting & RCA

Customer-facing

Cross-functional collaboration

CI/CD

Cloud platforms (AWS/Azure/GCP)

Tools

Snowflake

Redshift

BigQuery

Spark UI

Mosaic AI Model Service

Job description

CSQ227R215

As a Staff Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialised support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.

The Impact You Will Have:

• Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.
• Discover requirements for continuous monitoring to detect early performance issues, working with R&D and NOC teams to optimise the DNB customer environments.
• Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.
• Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.
• Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.
• Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.
• Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.
• Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.

What We Look For:

• Technical Expertise in Big Data and Spark: 10+ years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.
• Data Engineering Specialisation: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc
• Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimisation, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.
• Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.
• Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.
• Advanced Proactive Problem Solving Skills: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.
• Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Applicant Privacy Notice