We are seeking a skilled DBT Support Monitoring Engineer to manage monitor and support dbt Data Build Tool pipelines in a production setting The role involves proactive monitoring of scheduled dbt jobs troubleshooting failures ensuring data reliability supporting incident resolution and collaborating with data engineering teams to maintain highquality data transformation processes
Key Responsibilities
- Monitor and support production dbt pipelines and scheduled job executions through dbt Cloud and orchestration platforms
- Track job status execution duration run history and modellevel performance metrics
- Investigate and resolve dbt job failures data quality issues source freshness failures and dependencyrelated problems
- Analyze dbt logs SQL transformations and BigQuery execution errors for root cause identification
- Perform firstlevel troubleshooting and coordinate with development teams for complex issues
- Monitor pipeline SLAs and ensure timely completion of daily hourly and businesscritical workflows
- Create and manage incidents service requests and problem tickets using ITSM tools such as ServiceNow
- Execute data validations reconciliation checks and dbt tests to ensure data accuracy and reliability
- Collaborate with Data Engineers Analytics teams and business stakeholders to resolve production issues
- Maintain operational documentation SOPs knowledge articles and support runbooks
- Support release validations production deployments and postdeployment monitoring
- Identify recurring failures and recommend automation monitoring and performance improvement opportunities
- Ensure data validation reconciliation and parity with legacy outputs
- Implement CICD pipelines and follow DevOps best practices for dbt
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.