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Senior Databricks Platform Support Engineer

Remote
This Job is No Longer Active This position is no longer accepting applications

Provide structured incident, service request, and user question handling for Databricks platform. Directly analyze and debug Databricks issues including jobs, clusters, permissions, Unity Catalog, data access, performance, and error messages. Support onboarding, user guidance, and adoption of platform capabilities.

Key Highlights
Handle incidents, service requests, and user questions in a structured and timely way
Directly analyze and debug Databricks issues including jobs, clusters, permissions, Unity Catalog, data access, performance, and error messages
Work closely with platform engineering, cloud, security, governance, and vendor teams to resolve complex issues
Key Responsibilities
Handle incidents, service requests, and user questions in a structured and timely way
Directly analyze and debug Databricks issues including jobs, clusters, permissions, Unity Catalog, data access, performance, and error messages
Work closely with platform engineering, cloud, security, governance, and vendor teams to resolve more complex issues
Support onboarding, user guidance, and adoption of platform capabilities such as Data Products, Unity Catalog, Genie/AI features, and cost transparency
Identify recurring issues, improvement areas, and automation opportunities
Technical Skills Required
Databricks AWS SQL
Benefits & Perks
Flexible hours
Work-from-home options from Austria
Subsidized canteen
Well-being programs
Child allowances
Gender-neutral parental leave
Bilingual company kindergarten
Holiday childcare
Discounts
Exclusive banking terms
Free public transport pass
Nice to Have
Experience supporting enterprise-scale Databricks or AWS-based data platforms
Experience with monitoring, logging, root cause analysis, and operational reporting
Experience in banking, financial services, or another regulated environment
Interest in AI, Generative AI, and Large Language Models

Job Description

 

  • Handle incidents, service requests, and user questions in a structured and timely way. 
  • Directly analyze and debug Databricks issues, including jobs, clusters, permissions, Unity Catalog, data access, performance, and error messages. 
  • Work closely with platform engineering, cloud, security, governance, and vendor teams to resolve more complex issues. 
  • Support onboarding, user guidance, and adoption of platform capabilities such as Data Products, Unity Catalog, Genie/AI features, and cost transparency.  
  • Identify recurring issues, improvement areas, and automation opportunities. 

 

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