Data Integration Operations Manager

A leading enterprise organization is seeking a Data Integration Operations Manager to support critical data operations, integration workflows, and platform modernization initiatives. This role sits at the intersection of production support, data integration, operational governance, and cloud transformation.

The ideal candidate combines strong technical expertise with operational leadership capabilities and can effectively partner with technical teams, business stakeholders, and distributed support organizations to ensure reliable and scalable data delivery across the enterprise.

• Oversee daily operations for enterprise data integrations, batch workflows, and production data pipelines.
• Monitor operational health, identify risks, and coordinate issue resolution across critical data processes.
• Partner with distributed support teams to manage incidents, SLA commitments, and workflow dependencies.
• Support business-critical data operations across multiple functional domains.
• Improve monitoring, documentation, controls, operational procedures, and execution standards.
• Assist with modernization initiatives involving cloud-based data platforms and next-generation integration technologies.
• Participate in incident management, root cause analysis, operational governance, and release management activities.
• Collaborate with technical and business stakeholders to ensure data quality, availability, and operational reliability.
• Contribute to automation initiatives that improve efficiency, scalability, and resiliency.
• Support deployment readiness, operational validation, and production implementation activities.

• 7+ years of experience supporting enterprise data operations, integration platforms, or production environments.
• Strong hands-on SQL and Python experience.
• Experience supporting batch processing, ETL workflows, data pipelines, and integration processes.
• Strong understanding of production support, operational governance, and incident management.
• Experience working within complex enterprise environments.
• Ability to communicate technical and operational impacts to both technical and non-technical stakeholders.
• Experience supporting release management, operational controls, and production stability initiatives.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.

• Experience with modern cloud data platforms and distributed processing technologies.
• Exposure to Databricks, Spark, PySpark, Snowflake, Azure Data Factory, Airflow, or similar tools.
• Familiarity with lakehouse architectures, cloud migration efforts, or enterprise analytics platforms.
• Experience working with distributed or offshore support teams.

• Reliable operation of critical data integration and processing workflows.
• Effective incident management and operational risk mitigation.
• Continuous improvement of monitoring, automation, and support processes.
• Strong collaboration across business and technology teams.
• Successful contribution to modernization and cloud transformation initiatives.
• Delivery of scalable, resilient, and well-governed data operations.