Manager, Data Engineering and Integration

Role overview Lead a team responsible for bringing client and vendor data into an organization’s data environment accurately, securely, and on schedule. This is a hands-on, client-facing management role focused on onboarding feeds, monitoring production loads, resolving data issues, and keeping partners informed about load status and exceptions.

Responsibilities - Manage, mentor, and develop data integration analysts responsible for recurring data feeds. - Oversee integration design, implementation, and operation, including client and vendor onboarding from intake and mapping through testing and production. - Monitor production loads, diagnose failures, delays, and data-quality problems, and ensure stakeholders can see record counts, status, and exceptions. - Coordinate with clients, external data partners, internal account teams, and senior leaders to resolve issues and explain feed health. - Manage accurate, timely, secure data exports and extracts, and maintain scheduled loads and deliveries. - Set integration standards, maintain technical documentation, and track workload, service levels, and delivery status.

Requirements - At least seven years in data integration, data engineering, ETL/ELT, or data warehousing, with a relevant degree or equivalent experience. - At least three years as a manager or team lead, ideally guiding data integration or analyst teams. - Strong SQL skills and experience working with integration platforms, scripting, and automation. - Ability to manage priorities, improve processes, and diagnose issues with data feeds and data quality. - Clear communication with technical and non-technical audiences, including external partners and senior stakeholders. - Strong attention to accuracy, responsiveness, and team development.

Nice to have Experience with a commercial integration platform, Python, job scheduling, SQL Server, cloud data warehouses, cloud infrastructure, secure file transfer and encryption, or agile delivery. Familiarity with customer relationship data and AI-assisted monitoring is also useful.

Benefits and work setup The listed annual pay range is $140,000–$175,000, with potential eligibility for an annual incentive. The offer may vary by location, experience, and skills.