Responsibilities Contribute to the design, build, and maintenance of data pipelines and workflows supporting the classification engine and other core data products using Databricks and/or Snowflake Develop and implement scalable classification logic and data transformation rules using SQL and/or Python Ensure data quality, consistency, and integrity across datasets through rigorous QA, validation, and monitoring processes Partner closely with Engineering, Business Intelligence, and Media teams to support and evolve data products and underlying data models Troubleshoot and resolve complex data issues, identifying root causes and implementing long-term solutions Work within Agile frameworks (Jira) to manage priorities, deliverables, and cross-functional collaboration Qualifications Hands-on experience working with Databricks and/or Snowflake, or similar modern data warehouse technologies Proficiency in SQL and/or Python for data transformation and analysis Experience working with large, complex datasets and building scalable data solutions Exceptional attention to detail and a strong commitment to data accuracy and quality Strong problem-solving skills with the ability to debug complex data and system issues Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders Ability to think critically about data structures, logic, and system design Preferred but not required: Experience with taxonomy, classification systems, or data governance frameworks Experience with data visualization tools such as Datorama/MCI, Tableau, and Power BI Familiarity with tools such as Alteryx Experience working with media or marketing data (pharmaceutical experience is a plus, but not required) Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. Overview As a key member of the Data Enablement team, you will play a critical role in the design, development, and ongoing evolution of core data products, including our classification engine and supporting data infrastructure.