Manager - Cloud, Data & AI (Cloud & Data Platform Architect)

Analyze, design and identify the linkages and interactions between the component parts of entire systems. Consult clients on their data architecture and provide an analysis of efficiency, integration, cost, feasibility and technical dimensions. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Continuously develop skills outside your skill set and stay up to date with new technologies and market demand. Effectively mentor others, using work reviews as opportunities to deepen team members' expertise. Address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate. Coach and upskill your team mates to ensure the team growth and long-term success

At PwC Switzerland, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We're part of a tech-forward, people-empowered network and help clients build, accelerate and sustain momentum across audit, assurance, tax, legal, workforce, deals and consulting.

• Solid knowledge and proven experience with Azure and Microsoft technology stack (e.g., Fabric), supported by advanced-level certifications (e.g., Azure Administrator, Solution Architect, Fabric Engineer, etc.).

• Microsoft certification acquired, either AZ-305 or DP-600/DP-700

• Leadership and team development

• Expertise in Azure and Microsoft technologies

• Strong analytical and problem-solving abilities

• A university degree in fields such as business informatics, computer science, physics, mathematics, or any engineering discipline is preferred.

• Over 7 years of work experience focusing on data engineering, analytics, or data science, with consulting experience being a plus.

• Experience in sourcing, preparing, and delivering end-to-end data architecture or platform solutions to internal or external clients.

• Excellent communication skills with proficiency in English. German proficiency is preferred, but not required.