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Manager of Data Engineering and Observability

Manager of Data Engineering and Observability

CoxLaguna Woods, CA, United States
15 hours ago
Job type
  • Full-time
Job description

We are seeking a strategic Manager of Data Engineering and Observability to spearhead engineering initiatives focused on creating and managing tailored data solutions for our internal operational datasets. This role emphasizes the ingestion of operational, infrastructure, and security data into Snowflake, allowing Cox Automotive to elevate its observability, resilience, and intelligence.

About the Role :

This position blends technical direction with team leadership. You will guide engineering teams in crafting scalable data solutions, represent their achievements to stakeholders, and ensure alignment with business objectives. Your leadership will foster data-driven insights that enhance our understanding and operation of platforms.

Your Responsibilities :

Leadership & Strategy

  • Lead, mentor, and empower data engineering teams.
  • Encourage a culture of servant leadership, collaboration, and continuous improvement.
  • Establish technical direction and showcase the team's capabilities to stakeholders across the organization.

Technical Oversight

  • Steer the design and implementation of scalable data ingestion pipelines and data modeling solutions.
  • Ensure alignment with business objectives and architectural standards.
  • Offer technical guidance during off-hours when engineering teams are active.
  • Collaboration & Communication

  • Collaborate with stakeholders across IT, Security, Infrastructure, and Operations to comprehend data requirements and deliver impactful solutions.
  • Articulate effectively with both technical and non-technical audiences to advocate for the team's contributions and value.
  • Business Impact

  • Enhance observability and resilience across Cox Automotive's platforms.
  • Facilitate data-driven decision-making by delivering high-quality, reliable data solutions.
  • Enable the organization to gain insight into its strengths and weaknesses through intelligent data modeling.
  • Technologies We Use :

  • Snowflake
  • AWS
  • Strong familiarity with IT Operational Data Systems
  • MS 365 Copilot / GitHub Copilot / Claude Code
  • Minimum Qualifications :

  • Bachelor's degree in a related discipline and 6 years of experience in a related field. Consideration will be given to candidates with a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year experience in a related field; or 18 years' experience in a related field.
  • 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 to support engineering practices and product roadmap.
  • Preferred Qualifications :

  • Experience managing distributed or offshore teams and working across time zones.
  • Demonstrated success in leading strategic data initiatives.
  • Ability to balance technical expertise with people leadership.
  • The salary for this position ranges from USD 119,600.00 to 199,400.00 annually. Compensation may vary based on the location of the role and the candidate's skills and experience. Additional compensation may include an incentive program.

    Benefits :

    The Company offers eligible employees the flexibility to take as much paid vacation as necessary, seven paid holidays throughout the year, and up to 160 hours of paid wellness annually for personal or family wellness. Additional paid time off is available for bereavement, voting, jury duty, volunteering, military duties, and parental leave.

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    Engineering Manager • Laguna Woods, CA, United States

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