Databricks is the Data and AI company, relied on by more than 20,000 organizations worldwide.
The role delivers high-touch specialized support and tailored technical solutions for Databricks' largest strategic customers in the Digital Native Business segment.
Responsibilities
Perform advanced troubleshooting and root cause analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using 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.
Build rapid POCs and test/deploy/monitor solutions to address customer challenges and showcase Spark/ML/AI runtime capabilities.
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 performance tuning, debugging, and leveraging Databricks features.
Pilot new best practices and process improvements, collaborating with cross-functional teams.
Advocate for customers in business review meetings and act as a trusted advisor and primary technical point of contact.
Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements.
Requirements
8–12 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.
Hands-on expertise with Data Lakes, SQL-based databases, and cloud-based data warehousing/ETL tools like Snowflake, Redshift, BigQuery.
Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, plus proficiency in ML, Deep Learning, and Generative AI.
Practical experience with AWS, Azure, or GCP, plus CI/CD pipelines, monitoring, and alerting systems.
3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect.
Proven ability to anticipate, identify, and mitigate risks and coordinate team efforts.
Ability to work with cross-functional teams and senior leadership.
Conditions
Approximately 20% travel.
Local pay range $141,700 – $250,800 USD, plus eligibility for annual performance bonus, equity, and benefits.