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

As a Manager in the Cloud, Data & AI team, you will contribute with your expertise around Microsoft technologies (Azure and Data Platforms), their interplay in ecosystems involving multi-vendor tools and applications (such as Master Data Management, BI, Analytics, AI, etc.) and data architecture knowledge and experience.

Your Impact

• 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 teammates to ensure the team growth and long-term success

Your Skill Set

• 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