Staff Integrations Engineer, Enterprise Technology
About the role
Staff Integrations Engineer, Enterprise Technology
Maven is seeking a Staff Integrations Engineer to own the design, development, and optimization of integrations that connect the enterprise systems powering our distributed, high-growth organization. In this hands-on technical role, you will build reliable, secure, and scalable integrations across SaaS applications, internal tools, identity platforms, and data systems—ensuring that information flows seamlessly and operational processes are automated end-to-end.
You will collaborate closely with Enterprise Technology, Information Technology, Security, Engineering, Data, People, and Finance teams to understand business requirements, translate them into technical specifications, and deliver integrations that enhance productivity, reduce manual work, and improve system accuracy. This role is ideal for someone who enjoys solving complex systems challenges, designing clean integration architectures, and building automation that scales
As Staff Integrations Engineer (Enterprise Technology) at Maven, you will:
- Design, build, and maintain and own integrations between enterprise SaaS systems, internal tools, identity platforms, and data services.
- Cross functionally work with technical and non-technical partners driving projects, gathering requirements, system mapping creating, data validation, gathering buy-in and approval, stakeholder management.
- Develop and own workflows, automation, and orchestration logic to streamline processes such as user lifecycle management, access provisioning, data synchronization, and operational workflows.
- Evaluate integration approaches (API-based, event-driven, middleware, automation platforms, ETL/ELT) and select the right solution based on requirements for reliability, performance, and security.
- Collaborate with IT, Product, and Engineering teams to define technical requirements, validate solution designs, and support high-quality delivery.
- Troubleshoot integration failures, performance bottlenecks, and data inconsistencies, drive root cause analysis, and implement long-term fixes.