C

CarMax

Buys and sells used cars at no-haggle prices

Director – Data Engineering and Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's or master's degree in computer science, management information systems, or a related discipline.
  • At least 10 years of experience in technology leadership, including at least 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 methodology.
  • At least 3 years of experience in cloud computing, migrating, and building new data solutions using cloud platforms such as AWS, Azure, GCP, Snowflake, or Databricks.
  • At least 5 years of experience using 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.
  • In-depth knowledge of cloud data solutions, data engineering, database performance, data and analytics platforms, DevOps, and ML Ops.
  • Strong interpersonal skills to develop the vision by partnering with business stakeholders, peer groups, and Technology leadership.
  • Strong analytical and financial skills, accountability, clear communication, and the ability to influence cross-functional business partners and provide a technology perspective on complex business issues.
  • Ability to work in a dynamic environment and turn facts into recommendations.

Responsibilities

  • Set direction and identify appropriate team goals to achieve enterprise objectives using broad knowledge, experience, and critical thinking.
  • Prioritize objectives and provide holistic cross-functional solution recommendations that include ROI, implementation plans, scalability, and alternatives.
  • Direct cross-functional partnerships across technology areas to deliver coordinated data engineering, DevOps, ML Ops, database services, and automated QA solutions.
  • Deliver commitments by focusing on results and efficiently leveraging team talent.
  • Ensure 24x7 operations and meet SLAs for data, analytics, and reporting workloads.
  • Manage cloud and Azure spending to budget for database, data, and analytics workloads, and continuously optimize spending through automation, monitoring, process improvements, and communication with users and engineers.
  • Develop the vision in partnership with stakeholders across the business, peer groups, and Technology leadership; network across organizational levels and influence others.
  • Ensure timely communication about critical outages to impacted teams throughout the organization.
  • Present the vision to leadership at an appropriate level of detail and communicate the team's direction and consistent key messages.
  • Partner with third-party vendors to facilitate data-sharing agreements and manage consulting partners.
  • Evaluate talent needs and create development and selection plans to fill future needs.
  • Attract, recruit, and retain skilled and engaged associates.
  • Create and promote an environment of development and continuous learning, and a culture of empowerment where teams surface solutions and execute independently.
  • Assess and develop talent across departments, support succession planning to groom future leaders, and lead others to do the same.
  • Mentor others and support the growth of people outside the data area.
  • Formulate technology plans and strategy for EDL/EDW and the data and analytics platform based on current technology needs, CarMax's future technology direction, and the technology roadmap.
  • Direct teams in defining, directing, and maintaining the data platform, databases, and solutions to meet critical business insight and end-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, and ensure technical and operational teams meet program requirements.
  • Perform other duties as needed to meet business needs and support company values.

About the Company

CarMax

Buys and sells used cars at no-haggle prices

CarMax buys and sells used cars across the United States at fixed, no-haggle prices, and it is the country's largest used-car retailer. It is also the largest U.S. buyer of used cars from consumers, giving owners a written offer that holds for seven days whether or not they buy from it. Shoppers can buy entirely online, in one of its stores, or through a mix of both, and every car is reconditioned and inspected before sale. CarMax earns money on each car it sells at retail or through wholesale auctions, on extended service plans, and on loans from its own lender, CarMax Auto Finance. Circuit City opened the first CarMax store in 1993, and the company is based in Richmond, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
Richmond, VA
Founded
1993

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