Vice President of Data Engineering - Platform Engineering

Company Description

At Publicis Collective, we know tomorrow’s challenges won’t be solved by today’s solutions. It’s why we support our teams with the resources and tools they need to continue redefining the future of marketing. It’s also why clients rely on us to lead the way in connecting media, data, technology, and teams by what matters most – business outcomes.  Publicis Collective’s consultative practitioners are catalysts for business growth and innovation, we’re more than media experts. We are an incubator for high-performing talent and a launchpad for ideas that push the boundaries of what’s possible.  As part of the global Publicis Media network, we’re backed by the power, scale, and benefits of Publicis Groupe, one of the largest and most celebrated marketing and communications platforms on the planet.    How are we different? There are three core values at the center of our approach that help us stay ahead – curious, open, and driven.    Curious - A deep curiosity compels us to go beyond the brief to deliver exceptional outcomes.    Open - We value diverse perspectives and new ways of working.   Driven - We are ambitious, rigorous, self-disciplined, and resilient in our pursuit of excellence.   If you're a collaborative and enterprising practitioner with a passion for media and a desire to make a real impact, we want to hear from you.  Let's shape the future together. 

Overview

We are seeking a Vice President of Data Engineering to lead the strategy, design, and delivery of our enterprise data platforms. This role blends technical depth with executive leadership, balancing architecture, team development, and client engagement. The VP will translate complex business needs into scalable solutions, mentor high-performing teams, and provide strategic guidance to clients on data integration and best practices. This is a key leadership role shaping the future of our data ecosystem while ensuring measurable business value.

Responsibilities

Role Objectives:

Strategy & Leadership

• Define and execute the data engineering strategy to align with enterprise goals and accelerate business insights.
• Lead, mentor, and grow a high-performing engineering team, fostering innovation, accountability, and technical excellence.
• Represent data engineering in executive discussions, external partnerships, and client consultations.

Architecture & Engineering

• Provide architectural oversight across databases, pipelines, APIs, and cloud infrastructure.
• Oversee advanced database administration and schema design, ensuring high performance, scalability, and security.
• Champion modern DevOps and automation practices (CI/CD, GitOps) in data engineering workflows.
• Serve as final escalation point for critical data engineering issues, driving root cause analysis and long-term remediation.

Client & Partner Engagement

• Act as a trusted consultant to clients, advising on data ingestion strategies, delivery mechanisms, and best practices for data structures.
• Translate complex engineering concepts into actionable guidance for both technical and non-technical stakeholders.
• Partner with product, analytics, and business leaders to anticipate data needs and deliver scalable, secure solutions.

Innovation & Optimization

• • Lead optimization efforts for high-volume ETL and data processing workflows using Databricks, Python, AWS Glue, and other platforms.
  • Drive adoption of Databricks for advanced data engineering, including Data Lake, MLflow integration, and scalable Spark workloads.
  • Evaluate and adopt emerging technologies to keep the team at the forefront of data engineering practices.
  • Establish and enforce best practices for governance, quality, lineage, and observability, building systems that ensure trusted data.

Qualifications

Desired qualifications and skillsets:

• 10+ years of experience in data engineering, with leadership of large-scale platforms and teams.
• Proven success building and optimizing ETL/ELT solutions with Databricks, AWS Redshift, Glue, S3, and Lambda.
• Expert-level Databricks and Python skills, with a strong background in software engineering best practices.
• Advanced expertise in PostgreSQL (stored procedures, functions, and performance tuning).
• Deep knowledge of APIs, microservices, and event-driven architectures.
• Strong understanding of cloud-native architectures, distributed systems, and modern data modeling.
• Track record of supporting analytics, BI, and data science teams with high-quality, scalable solutions.
• Proven ability to engage with executive-level client stakeholders and influence technical direction.
• Excellent communication and executive presence; able to translate technical concepts into business impact.
• Bachelor’s degree in Computer Science, Information Technology, or related field; advanced degree preferred.

The following experience is a plus:

• • Experience with BI tools (Tableau, Power BI) and data science ecosystems (Pandas, R, Alteryx).
  • Exposure to front-end development and how it connects with backend data models.
  • Leadership roles where strategy, technical depth, client engagement, and mentorship intersected.

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 [email protected].

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

Compensation Range:  $172,000 - $198,000 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 10/23/2025.

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Compensation Range: USD $163,210.00 - USD $223,400.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation. 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. 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 10/20/2025.