Cox Enterprises

Manager, Data Engineering and Observability

Cox Enterprises

full-time

Posted on:

Location Type: Hybrid

Location: Atlanta • California, Pennsylvania, Texas, Utah • 🇺🇸 United States

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Salary

💰 $119,600 - $199,400 per year

Job Level

Mid-LevelSenior

Tech Stack

AWS

About the role

  • Lead, mentor, and empower data engineering teams; foster servant leadership, collaboration, and continuous improvement
  • Set technical direction and represent the team’s capabilities to stakeholders across the organization
  • Guide the design and implementation of scalable data ingestion pipelines and data modeling solutions (ingesting operational, infrastructure, and security data into Snowflake)
  • Ensure alignment with business goals and architectural standards and provide technical insight and leadership during off-hours when engineering teams are active
  • Partner with stakeholders across IT, Security, Infrastructure, and Operations to understand data needs and deliver impactful solutions during US working hours
  • Communicate effectively with technical and non-technical audiences to advocate for the team’s work and value
  • Drive improvements in observability and resiliency across Cox Automotive’s platforms and enable data-driven decision-making by delivering high-quality, reliable data solutions
  • Help the organization better understand its strengths and weaknesses through intelligent data modeling

Requirements

  • Bachelor’s degree in a related discipline and 6 years’ experience in a related field (or master’s +4 years; Ph.D. +1 year; or 18 years’ experience)
  • 3+ years of leadership experience managing engineering teams
  • Experience with Snowflake and AWS in a data engineering context
  • Strong understanding of IT operational data systems and data modeling practices
  • Excellent planning, prioritization, and decision-making skills
  • Knowledge of AI implementation for support of engineering practices and product road mapping
  • Familiarity with MS 365 Copilot, GitHub Copilot, and Claude Code
  • Experience managing distributed or offshore teams and working across time zones (preferred)
  • Demonstrated success in leading strategic data initiatives (preferred)
  • Will need to clear a pre-employment drug test; travel ~5% and ability to work US working hours
Benefits
  • Flexible vacation policy allowing employees to take as much vacation with pay as consistent with duties
  • Seven paid holidays per year
  • Up to 160 hours of paid wellness annually for employees or family members
  • Additional paid time off: bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, parental leave
  • Health care insurance (medical, dental, vision)
  • Retirement planning (401(k))
  • Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)
  • Potential eligibility for incentive program (additional compensation)
  • Hybrid flexible work option (Ability to work remotely part of the week)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata ingestion pipelinesdata modelingSnowflakeAWSIT operational data systemsAI implementationdata-driven decision-makingobservabilityresiliency
Soft skills
leadershipmentoringcollaborationcontinuous improvementcommunicationplanningprioritizationdecision-making
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