What are the responsibilities and job description for the Associate Director, Data Engineering position at Publicis Groupe?
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
The Associate Director, Data Engineering is 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
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 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.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com .
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 / 23 / 2025.
All your information will be kept confidential according to EEO guidelines.
Salary : $110,580 - $158,865
