About AutoZone
AutoZone is the nation's leading retailer and a leading distributor of automotive replacement parts and accessories with more than 6,000 stores in the US, Puerto Rico, Mexico, and Brazil. Each store carries an extensive line of cars, sport utility vehicles, vans, and light trucks, including new and remanufactured hard parts, maintenance items, and accessories.
We also sell automotive diagnostic and repair software through ALLDATA, diagnostic and repair information through ALLDATAdiy.com, automotive accessories through AutoAnything.com, and auto and light truck parts and accessories through AutoZone.com.
Since opening its first store in Forrest City, Ark. on July 4, 1979, the company has joined the New York Stock Exchange (NYSE: AZO) and earned a spot in the Fortune 500.
AutoZone has been committed to providing the best parts, prices, and customer service in the automotive aftermarket industry. We have a rich culture and history of going the Extra Mile for our customers and our community. At AutoZone you’re not just doing a job; you’re playing a crucial role in creating a better experience for our customers while creating opportunities to DRIVE YOUR CAREER almost anywhere! We are looking for talented, customer-focused people, enjoy helping others, and have the DRIVE to excel in a fast-paced environment!
Position Summary
The Technical Manager is a hands-on technical leader responsible for leading software engineering teams that design, build, modernize, and operate AutoZone’s global data platform. This role balances technical depth, people leadership, and delivery execution, ensuring that cloud-native, secure, and scalable solutions are delivered on Google Cloud Platform (GCP).
The Technical Manager partners closely with architects, product managers, security, and business stakeholders to translate architectural vision into high-quality execution. This role is accountable for engineering excellence, team development, and consistent delivery of reliable, secure, and performant software products that support AutoZone’s growth and global expansion.
ResponsibilitiesLead and oversee the design of robust ETL pipelines ensuring data reliability and accuracy.
Implement monitoring and alerting of data pipelines to track data quality and data freshness.
Lead a team of software engineers in the development of data services layer.
Experience with data engineering pipelines using Big Query as the data platform,
Ensure consistent application of engineering best practices, including CI/CD pipelines, containerization (Docker, Kubernetes/GKE), automated testing, and deployment strategies.
Own delivery commitments for team initiatives, ensuring predictable execution, high quality, and on-time delivery using Agile and DevOps methodologies.
Collaborate with InfoSec and compliance teams to ensure security, privacy, and regulatory requirements (GDPR, LGPD, etc.) are embedded into software development and operational processes.
Conduct and participate in code reviews, design reviews, and architectural discussions to ensure technical quality and adherence to standards.
Work closely with product management and business leaders to translate requirements into actionable technical plans and incremental delivery milestones.
Monitor and improve system performance, reliability, and operational health across production environments.
People & Leadership Responsibilities
- Directly manage, mentor, and develop engineers and technical leads, fostering a culture of accountability, collaboration, and continuous improvement.
- Support career development through regular feedback, coaching, and performance management aligned with company values and engineering expectations.
- Promote adoption of modern development practices, engineering discipline, and a strong quality mindset across teams.
- Act as an escalation point for technical and delivery issues, driving timely resolution while maintaining team morale and focus.
Required skills
Bachelor’s degree in computer science or equivalent practical experience.
15+ years of professional software development experience, including leadership of data platforms.
5+ years of experience leading or managing data engineering teams.
Solid back-end development experience using Java (Spring Boot) and Data Management tools.
Experience designing and working with relational databases (MySQL, Oracle, PostgreSQL) and NoSQL databases (MongoDB).
Experience in developing ETL pipelines and data governance.
Experience in Agentic AI development.
Practical experience with cloud-native development on Google Cloud Platform, including services such as GKE, Cloud SQL, Pub/Sub, Apigee, and data platforms.
Experience with CI/CD tools (GitLab, Jenkins, ArgoCD), containerization, and Kubernetes-based deployments.
Strong understanding of security, privacy, and compliance considerations for SaaS platforms.
Desired Skills:
Experience with SQL query performance tuning, and query optimizations.
Data Modeling.
Certificates, Licenses, and Registrations
Cloud (GCP, Azure or AWS) Certifications
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