Data Platform & Engineering Director — Hybrid

CarMax Inc.; Richmond (VA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Bonus and equity

Vacation time

Sick leave and paid holidays

Paid time away

Job summary

CarMax is seeking a Director of Data Engineering and Platform to build scalable data foundations, standards, and platforms that support data and analytics engineering across critical business lines. You will lead a large team, guide cloud solutions, DevOps, and ML Ops initiatives, and collaborate with senior leadership to drive engineering excellence.

The role focuses on strategic planning, stakeholder management, and roadmap definition in a dynamic environment.

Qualifications

• Bachelor’s or master’s degree in computer science, MIS, or related discipline.
• 10+ years of technology leadership experience, with 7+ years managing direct reports
• Extensive experience with data and analytics technologies, ETL, big data processing, CI/CD
• 3+ years of cloud computing experience (AWS, Azure, GCP, Snowflake/Databricks)
• 5+ years of Agile/Scrum experience
• Experience leading large teams and 24x7 data/analytics operations

Responsibilities

• Set direction and goals for enterprise data engineering and analytics programs.
• Prioritize objectives with ROI, implementation plans, scalability, and alternatives.
• Direct cross-functional partnerships to deliver data engineering and analytics platforms.
• Deliver commitments by optimizing team talent and processes.
• Ensure 24x7 data and analytics operations and meet SLAs.
• Manage cloud spend across databases, data, and analytics workloads.

Skills

Technology leadership

Cloud computing

Agile/Scrum

Data engineering

Stakeholder management

Team leadership

Education

Bachelor’s or Master’s degree in computer science or MIS

Tools

AWS

Azure

GCP

Snowflake/Databricks

Job description

CarMax is seeking a Director of Data Engineering and Platform to build scalable data foundations, standards, and platforms that support data and analytics engineering across critical business lines. You will lead a large team, guide cloud solutions, DevOps, and ML Ops initiatives, and collaborate with senior leadership to drive engineering excellence.

The role focuses on strategic planning, stakeholder management, and roadmap definition in a dynamic environment.