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Manager, Data Engineering

Publicis Groupe

Manager, Data Engineering

full-timePosted: Jan 21, 2026

Job Description

Company description

PHM is the leading health media agency in the US, dedicated to connecting people with meaningful health and wellness experiences every day. By reimagining media's role in healthcare, PHM delivers best-in-class solutions, pushing the boundaries of media through data, content, commerce and creativity. Our teams' spirit of innovation and genuine passion for health inspire bold and meaningful work for our clients, and we 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 warehouse solutions built on the Microsoft Azure and AWS technology stacksThese solutions include ETL, data modeling, data quality assessment and data delivery.


Responsibilities

  • Create high performance data products by monetizing warehouse and ETL solutions using SSIS, python and Spark 

  • Performance tuning and optimization of ETL, SQL and database structures 

  • Design and develop tables, views, triggers, indexes, constraints and stored procedures 

  • Monitor long running transactions and can 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 

  • Build data flow automation to retrieve, transform and load data 

  • Manage data warehouse structure and file storage rules 

  • Data management functions including: 

  • Metadata management 

  • Create, alter, delete, grant permissions, indexing, updating 

  • Query tuning 

  • Maintain best practices for handling, storing and using data 

  • Tools:   

  • SQL Server/SSIS 

  • Python/Java 

  • Web Analytics Platforms – Google, Adobe, etc. 

  • BI Platforms – Tableau, Datorama, etc 

  • Cloud Technologies – AWS, Azure, Google 


Qualifications

  • BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferred 

  • Minimum of 3+ years of experience developing large scale complex database solutions 

  • Demonstrated experience with BI database design 

  • Ability to track and resolve database related incidents as well as requests 

  • Strong understanding of database structures, theories, principles, and practices 

  • Strong understanding of ETL and data warehouse principles 

  • Good interpersonal, written and oral communication skills 

  • Technical documentation 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: 

  • Minimum 5 years SQL experience, 3 years of ETL experience, 3 years analyzing data sets 

  • Strong data warehouse knowledge 

  • Experience with JSON, XML, ORC,AVRO and Parquet file formats 

  • 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: $87,210.00  - $125,265.00. 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 1/16/26.

 

All your information will be kept confidential according to EEO guidelines.

 

Locations

  • Philadelphia, United States

Salary

Estimated Salary Rangelow confidence

90,000 - 150,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • data engineeringintermediate
  • data warehouseintermediate
  • data lakeintermediate
  • product developmentintermediate
  • stakeholder supportintermediate

Required Qualifications

  • data product development (experience)
  • data solutions design (experience)
  • development experience (experience)
  • support experience (experience)

Responsibilities

  • develop data products
  • support data products
  • build data warehouse solutions
  • build data lake solutions
  • utilize for stakeholders

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Publicis Groupe logo

Manager, Data Engineering

Publicis Groupe

Manager, Data Engineering

full-timePosted: Jan 21, 2026

Job Description

Company description

PHM is the leading health media agency in the US, dedicated to connecting people with meaningful health and wellness experiences every day. By reimagining media's role in healthcare, PHM delivers best-in-class solutions, pushing the boundaries of media through data, content, commerce and creativity. Our teams' spirit of innovation and genuine passion for health inspire bold and meaningful work for our clients, and we 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 warehouse solutions built on the Microsoft Azure and AWS technology stacksThese solutions include ETL, data modeling, data quality assessment and data delivery.


Responsibilities

  • Create high performance data products by monetizing warehouse and ETL solutions using SSIS, python and Spark 

  • Performance tuning and optimization of ETL, SQL and database structures 

  • Design and develop tables, views, triggers, indexes, constraints and stored procedures 

  • Monitor long running transactions and can 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 

  • Build data flow automation to retrieve, transform and load data 

  • Manage data warehouse structure and file storage rules 

  • Data management functions including: 

  • Metadata management 

  • Create, alter, delete, grant permissions, indexing, updating 

  • Query tuning 

  • Maintain best practices for handling, storing and using data 

  • Tools:   

  • SQL Server/SSIS 

  • Python/Java 

  • Web Analytics Platforms – Google, Adobe, etc. 

  • BI Platforms – Tableau, Datorama, etc 

  • Cloud Technologies – AWS, Azure, Google 


Qualifications

  • BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferred 

  • Minimum of 3+ years of experience developing large scale complex database solutions 

  • Demonstrated experience with BI database design 

  • Ability to track and resolve database related incidents as well as requests 

  • Strong understanding of database structures, theories, principles, and practices 

  • Strong understanding of ETL and data warehouse principles 

  • Good interpersonal, written and oral communication skills 

  • Technical documentation 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: 

  • Minimum 5 years SQL experience, 3 years of ETL experience, 3 years analyzing data sets 

  • Strong data warehouse knowledge 

  • Experience with JSON, XML, ORC,AVRO and Parquet file formats 

  • 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: $87,210.00  - $125,265.00. 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 1/16/26.

 

All your information will be kept confidential according to EEO guidelines.

 

Locations

  • Philadelphia, United States

Salary

Estimated Salary Rangelow confidence

90,000 - 150,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • data engineeringintermediate
  • data warehouseintermediate
  • data lakeintermediate
  • product developmentintermediate
  • stakeholder supportintermediate

Required Qualifications

  • data product development (experience)
  • data solutions design (experience)
  • development experience (experience)
  • support experience (experience)

Responsibilities

  • develop data products
  • support data products
  • build data warehouse solutions
  • build data lake solutions
  • utilize for stakeholders

Target Your Resume for "Manager, Data Engineering" , Publicis Groupe

Get personalized recommendations to optimize your resume specifically for Manager, Data Engineering. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Manager, Data Engineering" , Publicis Groupe

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Manager, Data Engineering @ Publicis Groupe.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.