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Collaborate with Customer Data Owner to define and continuously refine the vision for analytics products
Demonstrate ability to support ADF, Azure SQL, Databricks, Snowflake, and PBI in production environments
Operate in a 24×7 support model with rotating shifts
Communicate clearly, timely, and consistently with stakeholders
Continuously improve through reduction of repeat incidents and alert noise
Perform advanced troubleshooting across supported data platforms
Execute reruns, restarts, backfills, and rollbacks to restore service
Conduct data validation and reconciliation to confirm recovery
Apply temporary mitigations to stabilize production workloads
Restore service quickly and safely
Escalate to L3 only when an engineering change is required
Provide complete diagnostic information, impact assessment, and attempted remediation details during escalation
Requirements
Collaborate with Customer Data Owner to define and continuously refine the vision for analytics products, ensuring alignment with enterprise analytics strategy and business priorities
Demonstrated ability to support ADF, Azure SQL, Databricks, Snowflake, and PBI in production environments
Effective operation in a 24×7 support model with rotating shifts
Clear, timely, and consistent communication with stakeholders
Continuous improvement through reduction of repeat incidents and alert noise
Perform advanced troubleshooting across supported data platforms
Execute reruns, restarts, backfills, and rollbacks to restore service
Conduct data validation and reconciliation to confirm recovery
Apply temporary mitigations to stabilize production workloads
Restore service quickly and safely
Escalate to L3 only when an engineering change is required
Provide complete diagnostic information, impact assessment, and attempted remediation details during escalation