Lead Software Engineer - Data Engineering & Platform

Cox Enterprises•Austin, TX
•$134,900 - $224,900•Hybrid

About The Position

Cox Automotive is seeking a Lead Software Engineer for its AI & Data Delivery Platform organization. The role leads the design, development, and evolution of scalable data pipelines, data products, and platform capabilities, and provides technical and architectural guidance for cloud-native data platforms and services. The engineer collaborates with Product, Engineering, Analytics, and Data Science teams to define technical strategy and deliver reliable, high-performance data solutions. The position promotes engineering excellence through mentoring, design patterns, standards, and best practices. It also drives platform modernization, including self-service workflows, containerized execution models, and AI-enabled data capabilities. The work spans the software development lifecycle, from architecture and design through CI/CD operations, and includes learning and applying knowledge of the automotive digital marketing domain. Rotational on-call duties outside standard business hours may be required.

Requirements

  • Bachelor’s degree in a related field and 6 years of experience in a related field; alternatively, a master’s degree and 4 years of experience, a Ph.D. and 1 year of experience, or 18 years of experience in a related field.
  • 7 or more years of experience in software engineering, data engineering, or related technical fields.
  • Experience leading the design and implementation of enterprise-scale data platforms and distributed systems.
  • Strong experience with cloud-based application development, support, DevOps, and CI/CD practices.
  • Advanced object-oriented design experience, including applied use of design patterns and architectural best practices.
  • Ability to lead technical initiatives, influence engineering direction, and drive projects to successful completion.
  • Strong collaboration and communication skills and ability to work across multiple teams and stakeholders.
  • Extensive database development skills, including data warehousing, data modeling, database technologies, and performance optimization.
  • Experience mentoring engineers and conducting design reviews to uphold engineering quality standards.
  • Must be currently authorized to work in the United States for any employer without current or future sponsorship; OPT, CPT, STEM/OPT, and visa sponsorship are not available.
  • Availability for rotational on-call duties outside standard business hours may be required.

Nice To Haves

  • Experience supporting AI/ML workflows, feature engineering, and data preparation for model training and inference.
  • Experience using AI-assisted development tools, such as Claude Code, agentic coding, codebase analysis, refactoring, or implementation support, to improve engineering productivity.
  • Familiarity with vector databases, LLM integration, retrieval-augmented generation (RAG), or prompt engineering.
  • Understanding of MLOps practices, model deployment pipelines, and cloud-based AI infrastructure.
  • Experience implementing data lineage, impact analysis, observability, or AI-driven data quality solutions.
  • Commitment to ethical AI practices, responsible AI governance, and enterprise data governance standards.

Responsibilities

  • Lead the design, development, and evolution of scalable data pipelines, data products, and platform capabilities.
  • Collaborate with Product, Engineering, Analytics, and Data Science teams to define technical strategy and deliver high-quality data solutions.
  • Provide technical leadership and architectural guidance for cloud-native data platforms and services.
  • Mentor engineers and promote technical excellence, innovation, ownership, and continuous improvement.
  • Establish and enforce engineering standards, design patterns, and best practices across the team.
  • Drive platform modernization, including self-service workflows, containerized execution models, and AI-enabled data capabilities.
  • Learn and leverage the automotive digital marketing domain.

Benefits

  • Flexible paid vacation
  • Seven paid holidays
  • Up to 160 hours of paid wellness time annually for the employee’s or family members’ wellness
  • Bereavement leave
  • Time off to vote
  • Jury duty leave
  • Volunteer time off
  • Military leave
  • Parental leave
  • Medical, dental, and vision insurance may be offered
  • 401(k) retirement planning may be offered
  • Paid sick leave may be offered
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