Manager, Data Engineering

The Manager, Data Engineering is a pivotal leadership role responsible for the architecture, design, and delivery of Medifast’s enterprise data ecosystem. This individual leads a high-performing team to build scalable data pipelines and cloud-based infrastructure (AWS) that power business insights, advanced analytics, and ML/AI initiatives. Acting as a bridge between complex technical architecture and strategic business needs, the Manager ensures that data platforms are reliable, secure, and accessible, while fostering operational excellence and mentoring senior technical talent.

• Lead high-impact data engineering and integration initiatives supporting enterprise analytics and business insights
• Provide technical and people leadership within a modern, cloud-based data platform environment
• Drive architecture, delivery, and operational excellence for scalable, reliable data solutions
• Partner with cross-functional stakeholders to translate business needs into production-ready data platforms
• Evaluate and introduce new data technologies to improve performance, reliability, and cost efficiency
• Champion the 'Simplifying' value by reducing architectural complexity and improving data accessibility across the enterprise.

• Translate defined business and analytics requirements into scalable, reliable, and high-performance data engineering and integration solutions.
• Provide technical and architectural leadership to ensure data platforms meet established performance, availability, security, and compliance standards.
• Provide hands‑on technical guidance and support for complex data engineering issues as required.
• Accountable for the architecture, design, delivery, and support of systems integration, data warehouse, business insights, and ML/AI use cases.

• Partner with cross-functional stakeholders to translate business needs into production‑ready data platforms.
• Plan and oversee delivery of data engineering initiatives, including effort estimation, prioritization, vendor coordination, and issue escalation.
• Ensure data integration services are reliable, secure, scalable, and fit for purpose.
• Manage assigned data engineering staff, including work allocation, performance evaluations, coaching, and merit‑based compensation recommendations.
• Lead agile delivery execution and support continuous improvement of data engineering processes, platforms, and practices.
• Foster a culture of technical excellence and professional growth within the data engineering team.

• Ensure operational support and stability through established monitoring, logging, alerting, incident management, and 24x7 support processes.
• Ensure adherence to change management, release, and deployment standards to minimize operational risk and service disruption.
• Identify and implement technology initiatives to improve platform reliability, scalability, and cost efficiency.
• Evaluate and introduce new data technologies to improve performance, reliability, and cost efficiency.
• Champion the 'Simplifying' value by reducing architectural complexity and improving data accessibility across the enterprise.

Under the guidance of leadership, the role leads and/or participates in multiple concurrent data and analytics initiatives. The position partners closely with business stakeholders to manage reporting and business‑insights requirements across functions.

The role establishes team priorities, ensures efficient and high‑quality delivery, and manages stakeholder expectations. Scope of responsibility includes coordinating cross‑functional and geographically distributed resources, overseeing vendor partners, and ensuring adherence to delivery timelines, service reliability, and established standards and processes.

The role directly manages a small team of senior technical resources across data engineering, business intelligence engineering, and software engineering focused on data platform capabilities.

The position also conducts performance reviews for assigned team members and provides input and recommendations related to merit‑based…