Data Engineering Lead

Publicis Groupe Holdings B.V; Chicago (IL); On-site; USD 112,000 - 161,000; Full time

Benefits offered by this job

Medical coverage

401k

Paid time off

Parental and family care leave

Tuition reimbursement

Flexible time off

Job summary

Publicis Groupe in the US is seeking a data platform engineer to design and support data warehouse and lake solutions on Snowflake and Databricks. You will build end-to-end pipelines, define enterprise models, and collaborate with analytics teams.

The role requires 5+ years in large-scale databases, ETL/ELT, and strong SQL. You’ll work across AWS/Azure, with BI tools like Tableau and Datorama. Competitive compensation and comprehensive benefits.

Qualifications

• BS degree in CS/IT or related field.
• 5+ 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.

Responsibilities

• Design and implement scalable data architecture across cloud platforms (e.g., Snowflake, Databricks)
• Define enterprise data models, schemas, and standards to support analytics, reporting, and AI/ML use cases
• Architect end-to-end data pipelines for ingestion, transformation, and delivery of structured and unstructured data
• Oversee development and optimization of ETL/ELT processes using SQL, Python, and Spark
• Drive performance tuning across queries, pipelines, and storage to improve scalability and efficiency
• Establish best practices for database design, indexing, and query optimization
• Define and enforce data governance standards, including data quality, lineage, metadata, and access control
• Ensure data integrity, consistency, and compliance with security and privacy requirements
• Design and support scalable data products and reusable data assets aligned to business and client needs
• Partner with BI teams to enable reporting and dashboarding solutions (e.g., Tableau, Datorama)
• Support AI and advanced analytics initiatives through well-structured, accessible data
• Partner with cross-functional teams to translate business requirements into technical solutions
• Provide architectural guidance and mentorship to data engineers and analysts
• Act as a key stakeholder in resolving complex data challenges and recommending improvements to the data ecosystem
• Establish monitoring and performance standards for data pipelines and platforms
• Ensure reliability of data processes, including handling failures and optimizing long-running jobs
• Define SLAs and operational best practices for data availability and performance
• Tools: Snowflake, Databricks, SQL, Python, Spark (PySpark), Java, SSIS, APIs, Tableau, Power BI, Datorama, AWS, Azure

Skills

SQL

ETL

Data warehousing

Big data

Python

Spark

Education

BS in Computer Science / Information Technology or related field

Tools

Snowflake

Databricks

SSIS

APIs

Tableau

Power BI

Datorama

Job description

Company description

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 utilized by internal and external stakeholders. Design and develop warehouse solutions built on the Azure and AWS technology stacks. These solutions include ETL, data modeling, data architecture, data quality assessment and data delivery.

Responsibilities

• Design and implement scalable data architecture across cloud platforms (e.g., Snowflake, Databricks)
• Define enterprise data models, schemas, and standards to support analytics, reporting, and AI/ML use cases
• Architect end-to-end data pipelines for ingestion, transformation, and delivery of structured and unstructured data
• Oversee development and optimization of ETL/ELT processes using SQL, Python, and Spark
• Drive performance tuning across queries, pipelines, and storage to improve scalability and efficiency
• Establish best practices for database design, indexing, and query optimization
• Define and enforce data governance standards, including data quality, lineage, metadata, and access control
• Ensure data integrity, consistency, and compliance with security and privacy requirements
• Design and support scalable data products and reusable data assets aligned to business and client needs
• Partner with BI teams to enable reporting and dashboarding solutions (e.g., Tableau, Datorama)
• Support AI and advanced analytics initiatives through well-structured, accessible data
• Partner with cross-functional teams to translate business requirements into technical solutions
• Provide architectural guidance and mentorship to data engineers and analysts
• Act as a key stakeholder in resolving complex data challenges and recommending improvements to the data ecosystem
• Establish monitoring and performance standards for data pipelines and platforms
• Ensure reliability of data processes, including handling failures and optimizing long-running jobs
• Define SLAs and operational best practices for data availability and performance
• Tools:
  • Data Platforms: Snowflake, Databricks
  • Languages: SQL, Python, Spark (PySpark), Java
  • ETL / Integration: SSIS, APIs
  • BI & Analytics: Tableau, Power BI, Datorama (MCI)
  • Cloud: AWS, Azure

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 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 6 years SQL, ETL and analyzing datasets experience
• 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 [e-mail].

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

Compensation Range

Compensation Range: USD $112,290.00 - USD $161,280.00/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 10/1/2026.