Manager, Data Engineering

$145,000 - $170,000/Yr

Sinch - Chicago, IL

Full-time - Manager

Remote - Chicago, IL

About the position

The Manager of Data Engineering will lead a team responsible for designing and managing data mediation systems that support billing, usage tracking, and real-time event processing. This role focuses on overseeing the development of data pipelines, ensuring high performance and data integrity, and driving innovation in automation and efficiency of mediation processes. The manager will collaborate with cross-functional teams 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 scalable, reliable, and efficient data pipelines for real-time and batch data processing.
• Provide architectural guidance for the design and implementation of mediation systems, ensuring performance and scalability requirements are met.
• Ensure mediation systems run smoothly and efficiently, meeting service-level agreements (SLAs) for data processing and uptime.
• Collaborate closely with billing, product management, and other engineering teams to align mediation systems with business objectives.
• Drive automation of manual processes related to mediation and billing data pipelines, improving operational efficiency.
• Oversee the implementation of data governance best practices, ensuring compliance with industry standards and data privacy regulations.
• Manage multiple projects related to mediation and billing, ensuring timely delivery within scope and budget.
• Encourage continuous learning and improvement within the team by promoting the adoption of best practices in data engineering.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in data engineering, with at least 3 years in a managerial or team leadership role.
• Proven experience managing teams that develop mediation systems or data pipelines for billing, usage tracking, or high-transaction environments.
• Strong technical background in event-driven architectures and ETL processes, with hands-on experience in tools such as Apache Kafka, Flink, Spark Streaming, Airflow, or NiFi.
• Expertise in managing large-scale data processing pipelines for real-time and batch data.
• Strong programming skills in Python, Java, or Scala, with the ability to guide and review the technical work of team members.
• Experience with cloud platforms like AWS, GCP, or Azure, and familiarity with their data processing services.
• Solid understanding of data governance, including data security and privacy regulations.

Nice-to-haves

• Experience in industries with complex mediation needs such as telecommunications, messaging, utilities, or SaaS platforms.
• Knowledge of mediation engines and practices used in high-transaction industries.
• Experience with CI/CD pipelines, version control, and infrastructure automation.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their application to large-scale data mediation.

Benefits

• Comprehensive medical, dental, and vision plans.
• Free virtual counseling resources through an Employee Assistance Program.
• Roth and Pre-tax 401(k) options with employer match.
• Generous paid time off program.
• Paid parental leave and family planning support.
• Flexible remote work offerings.
• Paid time off to support a volunteer program.