Manager - Cloud, Data & AI (Cloud & Data Platform Architect) — PwC Switzerland
CHF 75'500 - 120'500
PwC Switzerland · Zurich (ZH)
- Location
- Zurich
- Contract
- other
- Posted
- 122 days ago
SalaryCHF 75'500 - 120'500
Role overview
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.
- 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.
- 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.
- 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
Main responsibilities
- 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
Key requirements
- 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
- 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
Contacts
- (no contact information provided)
Additional details
- Microsoft certification acquired, either AZ-305 or DP-600/DP-700 Leadership and team development
- Descrizione 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. Contatto (no contact information provided)
Notes and original content
- Microsoft certification acquired, either AZ-305 or DP-600/DP-700
- Leadership and team development
- Descrizione 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.
- Contatto (no contact information provided)
