OverviewResponsible for developing and supporting data products, this resource plays a critical role in the development of data warehouse/data lake solutions applied by internal and external partners. Design and develop big data solutions built on the Databricks and Azure technology stacks. This role will be pivotal in driving PHM data strategy, managing data pipelines, and ensuring the reliability and scalability of our data platforms.
Responsibilities- Lead and manage a team of data engineers, providing guidance and mentorship
- Design, implement, and maintain scalable data pipelines and architectures using Databricks and Azure technologies
- Design and develop tables, views, triggers, indexes, constraints and stored procedures
- Create high performance data products by monetizing warehouse and ETL solutions using python, SQL and spark
- Build data flow automation to retrieve, transform and load data. Manage data warehouse structure and file storage rules
- Performance tuning and optimization of ETL and database structures. Optimize data infrastructure performance, reliability, and cost-efficiency
- Investigate data discrepancies by tracing back data pipelines and ETL process to identify root cause and recommend corrective actions
- Monitor long running transactions and can optimize query executions using standard processes and methodologies
- Design data models for enterprise-wide data integration incorporating:
- Structured and unstructured data
- Real time, on-demand, batch and varying timing schedules
- Collaborate with multi-functional teams to understand data requirements and deliver innovative solutions
- Develop and enforce data engineering procedures, standards, and policies
- Maintain protocols for handling, storing and using data and metadata
- Evaluate and implement new technologies and tools to support data engineering initiatives
- Drive continuous improvement and innovation in data engineering processes
Qualifications- BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferred
- Minimum of 5+ years of experience developing large scale complex database solutions
- Demonstrated experience with BI database design
- Ability to track and resolve database and data related incidents as well as requests
- Strong understanding of database structures, theories, principles, and practices
- Strong understanding of data modeling, ETL processes, and data warehousing concepts
- Effective communication and collaboration skills with the ability to work across teams
- Technical documentation skills
- Excellent analytical and problem-solving skills
- Ability to present complex ideas in user-friendly language
- Self-motivated and directed, with keen attention to detail
- Able to prioritize and execute tasks in a team-oriented, high-pressure environment
Specific Skills Required:- Proven experience (7 years) in a data engineering leadership role, managing teams and complex projects
- Expertise in Databricks (Delta Lake, Apache Spark, Unity Catalog), Snowflake, Azure (Data Factory, Blob), SQL, and Python
- Experience working with a BI Platform (ex: Datorama, Tableau, PowerBI)
- Experience with large data sets
- Java, C# or R experience a plus
- Experience with REST API calls
- Experience with Web and Digital marketing data a plus
Additional informationOur 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.
Compensation Range: $112,290 - $161,280 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. Temporary roles may also qualify for participation in our 401(k) plan after eligibility 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 07/21/2026.