Manager, Data Engineering

Company description PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation. Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found. Overview The Data Manager of Data Engineering will work in a hands‑on and supportive role in our Technology and Data Department. This team processes and maintains all the data that flows into our organization and is the face of the agency regarding data needs from HCP publishers. You will work with internal and external partners, along with industry vendors, to monitor data transfers, perform data QA'ing and maintain documentation. You will also support the Vice President of Data engineering to enforce enterprise-wide data processes and protocols. Responsibilities Lead a portfolio of data projects across multiple clients Design and manage scalable pipelines, including ingestion from APIs (REST, GraphQL, vendor feeds) and traditional ETL sources Contribute to data architecture decisions to ensure efficient schema design, scalability, and governance across data warehouses and lakehouses Partner with BI, Product, and Media Tech teams to automate data integrations and improve data flow reliability Oversee ETL and metadata management to ensure stability, security, and compliance Present issues, trends, and recommendations to internal and external stakeholders Maintain best practices for handling, storing, and governing data Qualifications BS in Computer Science, Information Technology, or related field Strong hands‑on experience with PySpark (preferred language for data engineering and automation) Proficiency in Python and SQL for data processing and automation Experience building and maintaining API‑based data pipelines, including authentication and error handling Solid knowledge of modern data architecture (data modeling, governance, warehouse, lakehouse) Experience with database structures, ETL, and cloud data platforms Technical documentation skills and ability to communicate complex topics in simple, user-friendly terms Specific Skills Required Cloud platforms: AWS, Azure, Databricks Data warehouses / lakehouses: Snowflake, Redshift, Databricks Lakehouse BI tools: Tableau, Datorama (preferred) Strong collaboration skills with cross‑functional teams 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, 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 View email address on click.appcast.io. Compensation Range: $88,540 – $127,155 annually. The Company anticipates the application deadline for this job posting will be 07/23/2026. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr Publicis Groupe ANZ