Related skills
bigquery aws snowflake sql kubernetes📋 Description
- Be the technical backbone of our Support team for data stack issues.
- Reduce Engineering dependency via deep debugging and RCAs.
- Collaborate with Product, Engineering, and Customer Success to resolve escalations.
- Build reusable documentation, playbooks, and automation to scale support quality.
- Champion the customer experience with speed, clarity, and empathy.
- Continuously learn across tools like Snowflake, Databricks, dbt, and Fivetran.
🎯 Requirements
- 6–7+ years in technical support within the modern data stack.
- Troubleshoot APIs, connectors, auth, and integrations to reduce engineering dependency.
- Kubernetes, container networking, and ArgoCD for deployment/debug.
- Cloud platforms: AWS, GCP, and Azure.
- Advanced SQL for performance analysis and data troubleshooting.
- Java and API debugging, frontend troubleshooting, and Linux diagnostics.
- Read and interpret complex codebases; provide insights to Engineering.
🎁 Benefits
- Remote role with 09:00–17:00 PST.
- Ownership from Day One; own impactful projects and growth.
- Global Data Community; learning opportunities through conferences and open source.
- Fully remote company with a global team across 15+ countries.
- Equal opportunity employer.
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