Director, Data Engineering and Platform

CarMax•Richmond, VA
•$160,900 - $257,400•Hybrid

About The Position

The Director of Data Engineering and Platform builds the data foundations, frameworks, standards, and platforms that enable data and analytics engineering solutions and teams to scale and adapt to business priorities. The role leads product managers, solution architects, managers, data engineers, and database administrators in defining, designing, and delivering data engineering solutions (EDL/EDW), enterprise database systems, cloud platforms, DevOps, CI/CD, QA automation, and ML Ops solutions for business operations, sales strategy, logistics, and other business lines. The Director provides scalable, reliable, and real-time data to support customer and associate experiences. Responsibilities include strategic planning, stakeholder management, roadmap and vision definition, team development, and engineering excellence. The role leads large teams of employees and contractors, scales cloud solutions, and oversees 24x7 data and analytics operations. It also involves stakeholder and leadership documentation and presentations, data training sessions, and partnerships with third-party vendors and consulting partners. The position is based at the CarMax Midtown office in Richmond, Virginia, or the CarMax Technology Hub in Plano, Texas, with a hybrid arrangement. Richmond associates work onsite four days per week; Plano associates work onsite two days per week. Applicants must be authorized to work in the United States on a full-time basis; sponsorship is not available for this role.

Requirements

  • Bachelor’s or master’s degree in computer science, management information systems, or a related discipline.
  • 10+ years of experience in Technology leadership.
  • 7+ years managing direct reports while architecting, building, and deploying data engineering solutions and platforms.
  • Extensive experience with data and analytics technologies, ETL, big data processing, reporting, database scaling and performance optimization, and CI/CD solutions and methodologies.
  • 3+ years of experience in cloud computing, including migrating and building data solutions using cloud platforms such as AWS, Azure, GCP, Snowflake, or Databricks.
  • 5+ years of experience with Agile/Scrum ways of working and delivering high-quality end solutions to stakeholders.
  • Experience leading large teams of employees and contractors and running data and analytics operations 24x7.
  • Must be currently authorized to work in the United States on a full-time basis; sponsorship will not be considered.

Responsibilities

  • Set team direction and goals using broad knowledge, experience, and critical thinking to support enterprise objectives.
  • Prioritize objectives and recommend cross-functional solutions that account for ROI, implementation plans, scalability, and alternatives.
  • Direct cross-functional technology partnerships to deliver data engineering, DevOps, ML Ops, database services, and automated QA solutions.
  • Deliver commitments and efficiently leverage team talent.
  • Ensure 24x7 operations and meet SLAs for data, analytics, and reporting workloads.
  • Manage Azure and cloud spending for database, data, and analytics workloads, and optimize costs through automation, monitoring, process improvements, and communication.
  • Develop a vision in partnership with business stakeholders, peer groups, and Technology leadership.
  • Influence stakeholders across organizational levels and communicate critical outages promptly to impacted teams.
  • Present and communicate the team vision and strategic direction to leadership and other stakeholders.
  • Partner with third-party vendors on data-sharing agreements and manage consulting partners.
  • Assess talent needs and create development and selection plans for future staffing requirements.
  • Attract, recruit, retain, and develop skilled and engaged associates; foster continuous learning and empowerment.
  • Assess and develop talent across departments, support succession planning, mentor others, and help groom future leaders.
  • Stay current with industry trends in cloud data solutions, data engineering, database performance, data and analytics platforms, DevOps, and ML Ops.
  • Develop technology strategy for the EDL/EDW and data and analytics platform based on current and future technology needs and roadmaps.
  • Direct the definition, direction, and maintenance of data platforms, databases, and solutions to meet business insight and analyst needs.
  • Review, evaluate, and recommend software products, productivity tools, and external services.
  • Direct the development of data engineering, cloud automation, Data DevOps, ML Ops, and QA standards, procedures, and processes; ensure implementation and operational compliance.
  • Perform other duties as needed to meet business needs and support company values.

Benefits

  • May be eligible for bonus and equity.
  • Paid sick time for full-time hourly or commission/incentive-eligible associates, up to 48 hours per year.
  • Vacation time for full-time hourly or commission/incentive-eligible associates, between 80 and 200 hours per year after a 90-day waiting period, depending on continuous service.
  • Six paid scheduled holidays and one floating holiday for full-time hourly or commission/incentive-eligible associates; holiday premium pay may apply when working a scheduled holiday due to business need.
  • Full-time salaried associates receive paid time away with no specified limit as needed for sick time, vacation, bereavement, jury duty, holidays, and floating holidays, subject to manager approval.
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