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Associate Director, Data Engineering, Technology & Data

Publicis Groupe Holdings B.V
Philadelphia, PA Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 6/2/2025

Company Description

PHM is the leading health media agency in the US. We are designed for-and dedicated to-delivering best-in-class solutions that connect people with meaningful health and wellness solutions every day. Guided by our genuine passion for health and wellness, our work across the entire media ecosystem helps real patients navigate the most pivotal moments of their healthcare journeys.

While we have grown to be the No. 1 agency in our industry, at heart we're still a startup. It's that energy and spirit of innovation that allows us to create bold and meaningful "health media firsts" for our clients, and to do it all with #phmlove.

Overview

Responsible for developing and supporting data products, this resource plays a critical role in the development of data warehouse / data lake solutions utilized by internal and external stakeholders. 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 direct support data engineer, providing guidance and mentorship
  • Design, implement, and maintain scalable data pipelines and architectures using Databricks and Azure technologies
  • Design, develop and maintain 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 optimize query executions using best practices 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 cross-functional teams to understand data requirements and deliver innovative solutions
  • Develop and enforce data engineering best practices, standards, and policies
  • Maintain best practices for handling, storing and using data and metadata
  • Evaluate and implement new technologies and tools to support data engineering initiatives
  • Research and resolve internal and client ad hoc requests upon request
  • 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 (5 years) in a data engineering lead role, managing engineers 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

    Compensation Range : $110,580 - 158,865 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 03 / 13 / 2025.

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    Salary : $110,580 - $158,865

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