Related skills
azure aws snowflake sql kubernetes📋 Description
- Be the support tech backbone; troubleshoot product, integration, data-stack issues.
- Reduce Engineering dep. via deep debugging and clear RCAs.
- Collaborate with Product, Eng, and CS to resolve escalations.
- Build reusable docs, playbooks, and automation to scale quality.
- Champion the customer experience; resolve issues with speed and empathy.
- Continuously learn across tools: Snowflake, Databricks, dbt, Fivetran.
🎯 Requirements
- 6–7+ years in technical support within the modern data stack.
- Troubleshoot APIs, connectors, authentication, and integrations; root-cause RCAs.
- Kubernetes, container networking, ArgoCD for deployment.
- AWS, GCP, Azure.
- Advanced SQL for performance analysis.
- Java and API debugging, frontend issues, Linux diagnostics.
- Read and interpret complex codebases; provide insights to Eng.
- Snowflake, Databricks, BigQuery, dbt, Fivetran; metadata management knowledge.
🎁 Benefits
- Ownership from Day One: own impactful projects and growth.
- Limitless opportunities for career growth.
- Global data community and open-source involvement.
- Fully remote role with PST-friendly core hours.
- Equal opportunity employer.
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