Staff Technical Solutions Engineer, Platform
Databricks · Sao Paulo, Brazil · Support
About this role
Databricks is hiring a senior-level Solutions Engineer in the software engineering function based in Sao Paulo, Brazil. The posting calls out experience with AWS, GCP, Azure, Kafka.
- Role
- Solutions Engineer
- Function
- software engineering
- Level
- senior
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Sao Paulo, Brazil
- Department
- Support
More roles at Databricks
Job description
from Databricks careersP-1412
Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.
Job Overview:
We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 10 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.
Key Responsibilities:
- Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
- Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
- Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
- Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.