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- Tasks: Lead data modernization and AI initiatives using Microsoft Fabric.
- Company: Global tech partner focused on innovation and well-being.
- Benefits: Supportive environment with opportunities for impactful work.
- Why this job: Shape the future of data architecture and drive innovation.
- Qualifications: 2+ years in Microsoft Fabric, Power BI expertise, Lakehouse knowledge.
- Other info: Join a dynamic team dedicated to professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A global technology partner is seeking a highly experienced Microsoft Fabric Architect in Greater London to lead enterprise-scale data modernization and AI initiatives. The ideal candidate will translate business needs into scalable architecture on the Microsoft platform, conducting enablement sessions and ensuring best practices.
With 2+ years in Microsoft Fabric, strong expertise in Power BI and understanding of Lakehouse architecture, this role offers impactful opportunities in a supportive environment focused on innovation and well-being.
Fabric Data Platform Architect & AI Innovator employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Data Platform Architect & AI Innovator
✨Tip Number 1
Network like a pro! Reach out to professionals in the Microsoft Fabric and AI space on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal website where you can display your projects related to Microsoft Fabric and Power BI. This gives potential employers a tangible sense of your expertise and creativity. Plus, it’s a great conversation starter during interviews!
✨Tip Number 3
Prepare for those interviews! Research common questions for Fabric Architects and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you articulate your experience clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team. Let’s get you that dream job!
We think you need these skills to ace Fabric Data Platform Architect & AI Innovator
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data modernization and AI. We love seeing candidates who can connect their personal experiences to our mission at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for innovative thinkers who can translate business needs into scalable architecture, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Capgemini
✨Know Your Microsoft Fabric Inside Out
Make sure you’re well-versed in Microsoft Fabric and its components. Brush up on your knowledge of Power BI and Lakehouse architecture, as these will be crucial in demonstrating your expertise during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've translated business needs into scalable architecture. Think about challenges you've faced and how you overcame them, as this will highlight your ability to lead data modernization initiatives.
✨Engage with AI Initiatives
Since the role involves AI, be ready to talk about any relevant projects or experiences. Discuss how you've integrated AI into data solutions and the impact it had on the business, showing your innovative mindset.
✨Emphasise Collaboration and Enablement
This position requires conducting enablement sessions, so be prepared to explain how you’ve successfully collaborated with teams in the past. Share your approach to ensuring best practices are followed and how you empower others in their roles.
