Manager, Data Engineering, DTAI

Infinite Roar, Publicis Media's fastest-growing agency, is the new force in the media landscape. We are built for those clients looking to drive transformation, and we’ve created an approach especially tailored to the unique needs of disruptive, fast-growing brands. We combined the agility and personalized attention of a boutique agency with the unrivaled resources and expertise of a global powerhouse.

Infinite Roar, Publicis Media's fastest-growing agency, is the new force in the media landscape. We are built for those clients looking to drive transformation, and we’ve created an approach especially tailored to the unique needs of disruptive, fast-growing brands. We combined the agility and personalized attention of a boutique agency with the unrivaled resources and expertise of a global powerhouse.

The Manager, Data Engineering will help build the technical foundation that enables scalable analytics, automation, and AI-powered capabilities across Infinite Roar.

This is a highly hands-on role focused on transforming analytical prototypes and business workflows into production-grade solutions that are secure, reliable, and scalable. Working closely with Analytics, Audience Strategy, and Platform Intelligence teams, you will design and deliver data products, APIs, and engineering capabilities that accelerate decision-making and unlock new opportunities across the organization.

We're looking for a builder who enjoys taking ideas from concept to production and thrives at the intersection of data engineering, software development, and emerging AI technologies.

You enjoy solving complex business problems through technology and are passionate about building reusable solutions that help teams move faster and operate more efficiently.

You bring strong data engineering fundamentals, modern software engineering practices, and a pragmatic mindset toward AI and automation. You know when advanced AI techniques create value and when a well-designed data pipeline, API, or application is the better solution.

Most importantly, you're excited about helping shape the future technical foundation of a growing Platform Intelligence organization.

• Design, build, and maintain scalable data pipelines, analytical solutions, and data products using Databricks, Python, and SQL
• Develop and optimize workflows that support analytics, automation, reporting, and AI-driven applications
• Establish and maintain best practices for data quality, governance, security, and performance
• Transform analytical prototypes into production-ready services, applications, and reusable components
• Continuously improve platform reliability, scalability, maintainability, and cost efficiency

• Build and maintain APIs, backend services, and shared engineering capabilities that support internal teams and client-facing solutions
• Implement modern software engineering practices including testing, code reviews, documentation, version control, and CI/CD
• Partner with technology teams to deploy and support secure, scalable cloud-based solutions
• Troubleshoot and resolve production issues while continuously improving operational performance and observability

• Partner with analytics and strategy teams to identify opportunities where AI and automation can improve workflows and decision-making
• Develop and support intelligent workflows that combine analytical models, APIs, and modern AI capabilities
• Evaluate emerging AI technologies and help determine practical applications across internal and client-facing use cases
• Contribute to the evolution of the organization's AI and Platform Intelligence capabilities