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Director, Data Engineering

Job in Philadelphia, Philadelphia County, Pennsylvania, 19102, USA
Listing for: PHM
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst
Job Description & How to Apply Below

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. Go deeper. Be found.

Overview

Responsible 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 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…

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