Manager, Data Engineering, DTAI

Company Description 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. Overview 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. 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, you're excited about helping shape the future technical foundation of a growing Platform Intelligence organization. Responsibilities Data Platform & Engineering Design, build, and maintain scalable data pipelines, analytical solutions, and data products using Databricks, Python, and SQLDevelop and optimize workflows that support analytics, automation, reporting, and AI-driven applicationsEstablish and maintain best practices for data quality, governance, security, and performanceTransform analytical prototypes into production-ready services, applications, and reusable componentsContinuously 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 solutionsImplement modern software engineering practices including testing, code reviews, documentation, version control, and CI/CDPartner with technology teams to deploy and support secure, scalable cloud-based solutionsTroubleshoot 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-makingDevelop and support intelligent workflows that combine analytical models, APIs, and modern AI capabilitiesEvaluate emerging AI technologies and help determine practical applications across internal and client-facing use casesContribute to the evolution of the organization's AI and Platform Intelligence capabilities Cross-Functional Leadership Collaborate with analytics, audience strategy, and business stakeholders to translate requirements into scalable technical solutionsCommunicate technical concepts and recommendations clearly to both technical and non-technical audiencesContribute to engineering standards, knowledge sharing, mentoring, and technical best practices across the organization Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field5+ years of experience in data engineering, platform engineering, software engineering, or a related disciplineStrong proficiency in Python and SQLHands-on experience building solutions in Databricks or comparable modern data platformsExperience designing and supporting production data pipelines and cloud-based applicationsExperience building APIs and backend servicesFamiliarity with software engineering best practices including testing, source control, CI/CD, and code reviewsStrong problem-solving, communication, and collaboration skillsComfortable working in fast-paced, evolving environments with a high degree of ownership Additional Qualifications (Nice To Have) Experience with Google Cloud Platform, AWS, or AzureExperience with Databricks technologies such as Delta Lake, Unity Catalog, and Lakehouse architecturesExperience with containerization technologies such as DockerExposure to infrastructure-as-code and cloud deployment practicesExperience working with LLMs, AI-enabled applications, or intelligent automation workflowsExperience supporting marketing, media, advertising, or customer analytics data environmentsFamiliarity with adtech, martech, CRM, CDP, or business intelligence platforms Additional Information Our Publicis Groupe motto “Viva La Différence” means we’re 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 USMTTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines. Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/27/2026.