Atlan is a pioneering company focused on transforming data chaos into clarity with its active metadata platform. As a Technical Support Engineer, you will troubleshoot complex technical challenges, collaborate with cross-functional teams, and enhance customer experience while contributing to the overall product quality and operational scale.
Responsibilities:
- Be the technical backbone of our Support team - troubleshoot complex product, integration, and data stack issues for customers
- Reduce Engineering dependency through deep debugging and clear, complete root-cause analyses (RCAs)
- Collaborate cross-functionally with Product, Engineering, and Customer Success to resolve escalations and surface actionable insights
- Strengthen processes by building reusable documentation, playbooks, and automation that scale support quality
- Champion the customer experience — resolve every issue with speed, clarity, and empathy
- Continuously learn and grow as a product and data expert across tools like Fivetran, Snowflake, Databricks, dbt, and beyond
Requirements:
- 6–7+ years of experience in technical support or similar roles within the modern data stack ecosystem
- Proven ability to troubleshoot complex technical issues across APIs, connectors, authentication, and integrations - reducing dependency on Engineering through deep debugging and structured RCA
- Strong technical expertise in: Kubernetes, containerized networking, and ArgoCD for deployment and service debugging
- Cloud platforms: AWS, GCP, Azure
- Advanced SQL for performance analysis and data troubleshooting
- Java and API-level debugging, front-end troubleshooting, and Linux performance diagnostics
- Ability to read and interpret complex codebases (any language) and provide meaningful insights to Engineering
- Hands-on experience with modern data stack tools — Snowflake, Databricks, BigQuery, dbt, Fivetran — and familiarity with metadata management or data catalog platforms