Manager, Data Engineering, DTAI

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 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 organization’s 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

• Bachelor’s 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

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., 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., bp

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