System Architecture & Data Strategy
This area evaluates your ability to oversee complex systems and guide technical direction without necessarily writing the code yourself. Interviewers want to see that you understand how to build scalable, reliable, and secure platforms that align with modern data and software engineering standards. Strong performance is demonstrated by explaining the "why" behind architectural choices, detailing trade-offs, and showing an understanding of data integration.
Be ready to go over:
- Data Pipeline Scalability – Managing large-scale data ingestion and processing frameworks.
- Cloud Infrastructure – Utilizing cloud services (AWS, Azure, or GCP) to support global applications.
- System Integration – Designing APIs and microservices that connect legacy systems with modern marketing technologies.
- Advanced concepts (less common) – Multi-region data compliance (GDPR/CCPA), real-time streaming architectures, and cost-optimization strategies for cloud infrastructure.
Example questions or scenarios:
- "How would you design a data ingestion platform that processes billions of events daily from global media channels?"
- "Describe a scenario where you had to migrate a legacy monolithic application to a microservices architecture. What were the risks and how did you mitigate them?"
Engineering Leadership & Team Dynamics
This evaluation area focuses on your ability to build, scale, and maintain healthy engineering teams. Publicis Groupe Holdings B.V values managers who can foster collaboration, mentor talent, and drive agile delivery methodologies. A strong candidate demonstrates empathy, a structured approach to career growth, and effective strategies for managing remote or distributed teams.
Be ready to go over:
- Mentorship and Career Growth – Developing clear progression frameworks for engineers of all levels.
- Agile Delivery – Leading scrum or kanban teams to maintain a sustainable and predictable delivery velocity.
- Conflict Resolution – Addressing performance issues and resolving technical disagreements within the team.
- Advanced concepts (less common) – Managing multi-disciplinary teams (e.g., combining software engineers, QA, and data scientists under one management structure) and driving inner-source initiatives across global offices.
Example questions or scenarios:
- "How do you handle a high-performing engineer who is causing friction within the team due to poor communication?"
- "Walk me through how you establish key performance indicators (KPIs) for your engineering team to measure success without micromanaging."
Stakeholder Management & Business Alignment
As an Engineering Manager, you will act as the interface between technical teams and business stakeholders. This area tests your ability to communicate complex technical roadmaps, manage expectations, and align engineering priorities with business outcomes. Strong performance looks like active listening, clear translation of technical debt into business risk, and negotiation skills.
Be ready to go over:
- Cross-Functional Collaboration – Working with product, media, and design teams to define product roadmaps.
- Managing Technical Debt – Persuading non-technical stakeholders to allocate resources for refactoring and system maintenance.
- Client and Executive Communication – Presenting project updates, risks, and milestones to senior leadership and clients.
- Advanced concepts (less common) – Managing vendor relationships and evaluating third-party software integrations versus building in-house.
Example questions or scenarios:
- "How do you explain the necessity of refactoring a database to a business stakeholder who only wants new features delivered?"
- "Describe a time when a critical project was falling behind schedule. How did you manage stakeholder expectations while keeping the engineering team motivated?"