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- Tasks: Design and implement secure cloud data solutions on AWS and Azure.
- Company: Global tech firm with a focus on innovation and collaboration.
- Benefits: Hybrid working model, flexible locations, and dynamic work environment.
- Why this job: Join a cutting-edge team and shape the future of cloud data technology.
- Qualifications: Strong expertise in cloud technologies and data engineering.
- Other info: Exciting opportunities for growth and professional development.
The predicted salary is between 48000 - 72000 £ per year.
A global technology firm is seeking a Cloud Solution Architect with strong Data Engineering expertise to create end-to-end cloud data solutions on AWS and Azure. The role involves collaboration with product and engineering teams, with responsibilities including designing secure architectures and maintaining compliance. The ideal candidate will have a deep understanding of cloud technologies and data handling practices. This position offers a hybrid working model, providing flexibility in work locations and ensuring a dynamic work environment.
Cloud Data Architect — AWS & Azure, Real-Time Data in London employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Architect — AWS & Azure, Real-Time Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Cloud Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud data solutions and projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your AWS and Azure knowledge, and be ready to discuss real-time data handling practices. We recommend practising common interview questions with a friend or using mock interview platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Cloud Data Architect — AWS & Azure, Real-Time Data in London
Some tips for your application 🫡
Show Off Your Cloud Skills: Make sure to highlight your experience with AWS and Azure in your application. We want to see how you've tackled real-time data challenges and designed secure architectures in your previous roles.
Collaborate Like a Pro: Since this role involves working closely with product and engineering teams, share examples of how you've successfully collaborated in the past. We love seeing teamwork in action!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Capgemini
✨Know Your Cloud Tech Inside Out
Make sure you brush up on your knowledge of AWS and Azure. Be ready to discuss specific services, tools, and best practices for designing secure architectures. This will show that you’re not just familiar with the platforms but can also leverage them effectively.
✨Showcase Your Data Engineering Skills
Prepare examples of past projects where you’ve implemented end-to-end cloud data solutions. Highlight your experience with real-time data processing and how you’ve collaborated with product and engineering teams to achieve successful outcomes.
✨Understand Compliance and Security
Familiarise yourself with compliance standards relevant to cloud data solutions. Be prepared to discuss how you ensure data security and compliance in your designs, as this is a key responsibility of the role.
✨Embrace the Hybrid Work Model
Since this position offers a hybrid working model, think about how you can effectively collaborate in both remote and in-office settings. Be ready to share your strategies for maintaining productivity and communication in a dynamic work environment.
