Manager, Mediation Data Engineering

About the position

We are seeking an experienced and dynamic Manager of Software Engineering to lead a team of engineers responsible for designing and managing data mediation systems that support billing, usage tracking, and real-time event processing. In this role, you will oversee the development of data pipelines, ensure high performance and data integrity, and drive innovation in the automation and efficiency of mediation processes. You will collaborate with cross-functional teams, including product, billing, and engineering, to align technical solutions with business goals.

Responsibilities

• Lead, mentor, and develop a team of Mediation Data Engineers, fostering a culture of innovation, accountability, and technical excellence.
• Define and execute the roadmap for mediation systems, ensuring that the team builds scalable, reliable, and efficient data pipelines for real-time and batch data processing.
• Provide architectural guidance for the design and implementation of mediation systems, including data collection, transformation, and delivery to billing platforms.
• Ensure that mediation systems are running smoothly and efficiently, meeting service-level agreements (SLAs) for data processing and uptime.
• Collaborate closely with billing, product management, and other engineering teams to understand requirements and align mediation systems with business objectives.
• Drive automation of manual processes related to mediation and billing data pipelines, reducing errors and improving operational efficiency using tools like Airflow or NiFi.
• Oversee the implementation of data governance best practices, ensuring that mediation systems comply with industry standards, including data privacy regulations (e.g., GDPR, CCPA).
• Manage multiple projects related to mediation and billing, ensuring timely delivery within scope and budget.
• Encourage continuous learning and improvement within the team by staying current with emerging technologies and promoting the adoption of best practices in data engineering and event processing.