Manager, Data Engineering, DTAI

Infinite Roar Publicis Medias fastest-growing agency is the new force in the media landscape. We are built for those clients looking to drive transformation and weve 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.

Were 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.

What Success Looks Like:

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 youre excited about helping shape the future technical foundation of a growing Platform Intelligence organization.

Data Platform & Engineering

• 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

Software & Platform Development

• 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

AI & Automation

• 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 organizations AI and Platform Intelligence capabilities

Cross-Functional Leadership

• Collaborate with analytics audience strategy and business stakeholders to translate requirements into scalable technical solutions
• Communicate technical concepts and recommendations clearly to both technical and non-technical audiences
• Contribute to engineering standards knowledge sharing mentoring and technical best practices across the organization

• Bachelors degree in Computer Science Engineering Data Science or a related technical field
• 5 years of experience in data engineering platform engineering software engineering or a related discipline
• Strong proficiency in Python and SQL
• Hands-on experience building solutions in Databricks or comparable modern data platforms
• Experience designing and supporting production data pipelines and cloud-based applications
• Experience building APIs and backend services
• Familiarity with software engineering best practices including testing source control CI/CD and code reviews
• Strong problem-solving communication and collaboration skills
• Comfortable working in fast-paced evolving environments with a high degree of ownership

Additional Qualifications (Nice to have):

• Experience with Google Cloud Platform AWS or Azure
• Experience with Databricks technologies such as Delta Lake Unity Catalog and Lakehouse architectures
• Experience with containerization technologies such as Docker
• Exposure to infrastructure-as-code and cloud deployment practices
• Experience working with LLMs AI-enabled applications or intelligent automation workflows
• Experience supporting marketing media advertising or customer analytics data environments
• Familiarity with adtech martech CRM CDP or business intelligence platforms

Our Publicis Groupe motto Viva La Différence means were better together and we believe that our differences make us stronger. It means we honor and celebrate all identities across all facets of intersectionality and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage dental vision disability 401K as well as parental and family care leave family forming assistance tuition reimbursement and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically please contact

All your information will be kept confidential according to EEO guidelines.