Senior Data Integration & Automation Engineer
(HVR | SnapLogic | Control-M)
Position Summary
We are seeking a hands-on Data Integration & Automation Engineer to administer, support, and enhance our enterprise HVR, SnapLogic, and Control-M platforms. This role will be responsible for ensuring reliable data replication, integration processing, workload automation, platform security, operational support, monitoring, and continuous improvement across production and non-production environments.
Key Responsibilities
- Administer and support HVR, SnapLogic, and Control-M environments across Development, QA, UAT, and Production.
- Monitor and troubleshoot data replication, integration pipelines, and scheduled job failures.
- Manage platform upgrades, patching, performance tuning, and lifecycle activities.
- Configure and maintain HVR replication channels, SnapLogic pipelines, and Control-M workflows.
- Support service account management, credential rotation, access reviews, and security controls.
- Develop monitoring, alerting, operational dashboards, and support runbooks.
- Perform root cause analysis and implement corrective and preventive actions.
- Support disaster recovery testing, high availability initiatives, and operational resiliency improvements.
- Partner with DBA, Data Engineering, Infrastructure, Security, and Application teams on enterprise data initiatives.
- Drive automation, standardization, and platform modernization efforts.
Required Qualifications
- 5+ years of experience supporting enterprise data integration, ETL, replication, or workload automation platforms.
- Hands-on experience with HVR, SnapLogic, Control-M and/or AWS.
- Strong knowledge of data platforms such as SQL Server, Oracle, PostgreSQL, or Snowflake.
- Experience with incident management, production support, and troubleshooting.
- Knowledge of security, access management, and service account governance.
- Experience supporting highly available, mission-critical systems.
Preferred Qualifications
- Experience with Snowflake, Azure, AWS, or hybrid cloud environments.
- Knowledge of CI/CD, DevOps, Git, and Infrastructure-as-Code practices.
- Familiarity with ITIL processes and change management.
- Experience with monitoring and observability platforms.
What Success Looks Like
- High platform availability and reliability.
- Reduced integration and batch processing failures.
- Strong security and audit compliance posture.
- Improved automation, monitoring, and operational efficiency.
- Successful delivery of modernization and resiliency initiatives.
Location: Cypress Waters
Experience: Senior-Level (5+ Years)
Department: Database Administration & Governance / Data Platform Operations