Senior Lead Data Engineer — AI & Big Data Architect Hybrid

cox; Atlanta (GA); Hybrid; USD 175,000 - 236,000; Full time

Benefits offered by this job

Flexible vacation policy

Seven paid holidays

Wellness hours (160 per year)

Bereavement leave

Voting leave

Jury duty leave

Volunteer time off

Military leave

Parental leave

Job summary

Cox Automotive Corporate Services, LLC in Atlanta seeks a Sr. Lead Data Engineer to design, deploy, and operate data architectures and pipelines at scale. You will guide data acquisition, warehousing, and governance, collaborating with product management and senior engineering teams.

Responsibilities include building automated data pipelines, leveraging AI/ML techniques, and ensuring reliable, scalable data platforms. Hybrid remote/onsite work is allowed within commuting distance of Atlanta.

Qualifications

• Requires a bachelor's or foreign equivalent degree in Computer Science, Information Technology, Engineering, Management Information Systems or a related field.
• 8 years of experience designing, developing, or implementing highly scalable, high volume software systems.

Responsibilities

• Oversee design, deployment, and operation of data architectures and pipelines.
• Lead development of data acquisition, aggregation, and warehousing infrastructure.
• Mentor engineering teams and govern data design standards and processes.

Skills

Data architecture

NoSQL databases

Relational databases

CI/CD pipelines

ETL processes

Cloud platforms (AWS)

Data governance

Business intelligence

Education

Bachelor's degree in CS/IT/Engineering/MIS

Master’s degree acceptable

PhD acceptable

Tools

AWS Glue

Collibra

GitLab CI/CD

AWS CodePipeline

Amazon RDS SQL Server

AWS Data Pipeline

Job description

Cox Automotive Corporate Services, LLC in Atlanta seeks a Sr. Lead Data Engineer to design, deploy, and operate data architectures and pipelines at scale. You will guide data acquisition, warehousing, and governance, collaborating with product management and senior engineering teams.

Responsibilities include building automated data pipelines, leveraging AI/ML techniques, and ensuring reliable, scalable data platforms. Hybrid remote/onsite work is allowed within commuting distance of Atlanta.