We are seeking a Data Support Engineer to serve as the key operational link between our production data architecture and our business clients/stakeholders. In this role, you will be responsible for active ETL build monitoring across our dbt Mesh (dbt Core) and Snowflake ecosystem, as well as managing client-facing ticket resolution and incident communication.
You will ensure that scheduled dbt builds run reliably, data freshness SLAs are met, and incoming user inquiries regarding data availability, access, or performance are handled with high client satisfaction.

Key Responsibilities
1. ETL Build Monitoring & Incident Management
Pipeline Monitoring: Actively monitor nightly and intraday dbt build executions, dbt test assertions, and freshness checks across interconnected dbt Mesh projects.
Build Failures & Recovery: Diagnose and resolve failed ETL/dbt runs (e.g., upstream source delays, contract breaches, timeout errors, connection drops) to restore pipeline operations within target SLAs.
Runaway / Blocked Jobs: Track orchestration platform runs (Airflow, Dagster, GitHub Actions,



or Snowflake Tasks) to re-trigger failed job steps or clear blocked dependencies.
2. Client-Facing Ticket Management & Communication
Ticket Lifecycle: Own the queue of client-facing tickets (via Jira, ServiceNow, Zendesk, or Slack/Teams) from initial triage to final resolution.
Stakeholder SLA Management: Provide regular, transparent, and proactive status updates to internal business teams, client analysts, and external partners during operational outages or data delay incidents.
Root Cause Analysis (RCA) Communication: Draft clear, client-friendly summary reports explaining data issues, business impacts, and remedial actions taken.
3. Access Management & user support
Execute user and service account access requests across Snowflake databases, schemas, and dbt models adhering to Role-Based Access Control (RBAC) guidelines.
Troubleshoot client access issues (e.g., missing database grants, functio

📌 Data Support Engineer (India)
🏢 Mitra AI
📍 India