Associate Director, Data Engineering

PHM Data Engineer 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. Overview: Responsible for developing and supporting data products, this resource plays a critical role in the design, development and management of modern, cloud-based data engineering and data warehouse solutions applied by internal and external collaborators. Responsibilities Create high performance data products by monetizing BI solutions, warehouse and ETL technologiesWork closely with different teams such as client, sales, IT, media planning and buyingDesign, develop and productionize data engineering pipelines on a massively parallel processing (MPP) and cloud-based tech stack, applying solution aspects from hybrid-clouds (Azure, AWS), data lakes and multiple data warehouses.Data management functions including: ETL/data feed management Metadata management Create database objects as needed (e.g. Stored procedures, Stages, Indexes) Optimization of data pipelines Maintain procedures for handling, storing and using data Tools: Apache Spark (Pyspark), Pandas, Python Any modern database (Oracle, SQL Server, Postgres) Good to have exposure to data visualization tools such as Tableau, PowerBI Data engineering stack on public clouds AWS, Azure, Google Qualifications BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferredMinimum of 5+ years of experience designing and developing BI solutionsSolid understanding of database structures, theories, principles, and practicesSolid understanding of ETL and data warehouse principlesGood interpersonal, written and oral communication skillsUser documentation skillsAbility to present complex ideas in user-friendly languageSelf-motivated and directed, with keen attention to detailAble to prioritize and execute tasks in a team-oriented, high-pressure environmentMinimum 5 years SQL experience, 3 years of ETL experiencePython based data wrangling experience highly desired. Strong data warehouse knowledgeExperience with large data setsExperience with Web and Digital marketing data a plus Additional information: Our Publicis Groupe motto "Viva La Diffrence" 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. Compensation Range: USD $112,290.00 - USD $161,280.00/Annually.