Head of Data Platform & Engineering

CarMax

Richmond (VA)

Híbrido

USD 200.000 - 270.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Bonus and equity
Sick time
Vacation time
Holiday pay

Descripción de la vacante

CarMax seeks a Director of Data Engineering and Platform to build scalable data foundations, standards, and platforms. You will lead a diverse team to define and deliver data engineering solutions, enterprise databases, cloud platforms, DevOps, and ML Ops that support critical business operations.

The role emphasizes strategic planning, stakeholder management, and a clear technology vision. You will manage large teams, ensure 24x7 data operations, and partner with vendors to enable data sharing

Formación

  • Bachelor’s or master’s degree in computer science, MIS, or related discipline.
  • 10+ years of technology leadership with 7+ years managing data engineering teams and platforms.
  • Experience with data and analytics technologies, ETL, big data, CI/CD, and performance optimization.

Responsabilidades

  • Strategic planning and results focus to align data platforms with enterprise objectives.
  • Direct cross-functional partnerships to deliver data engineering, DevOps, ML Ops, databases, and QA solutions.
  • Lead 24x7 data and analytics operations and manage cloud spending and optimization.

Conocimientos

Data engineering
Cloud platforms
DevOps
CI/CD
ML Ops
Stakeholder management
Leadership

Educación

Bachelor’s or Master’s in CS / MIS or related

Herramientas

AWS
Azure
GCP
Snowflake
Databricks

Descripción del empleo

CarMax seeks a Director of Data Engineering and Platform to build scalable data foundations, standards, and platforms. You will lead a diverse team to define and deliver data engineering solutions, enterprise databases, cloud platforms, DevOps, and ML Ops that support critical business operations.

The role emphasizes strategic planning, stakeholder management, and a clear technology vision. You will manage large teams, ensure 24x7 data operations, and partner with vendors to enable data sharing

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