Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and architect cloud-native data and AI platforms using AWS and Azure.
- Company: Leading technology consultancy with a focus on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data and AI solutions.
- Qualifications: 5+ years in data solution architecture and strong cloud services knowledge.
- Other info: Hybrid role with a chance to work on exciting projects.
The predicted salary is between 60000 - 80000 £ per year.
A technology consultancy is seeking a skilled Data & AI Platform Architect for a 6-month contract in the UK. This hybrid role involves architecting cloud-native data and AI platforms using AWS and Azure. The ideal candidate has over 5 years of experience in data solution architecture, strong knowledge of cloud services, and excellent stakeholder engagement skills.
Responsibilities include:
- Designing data architectures
- Integrating advanced AI
- Maintaining best practices in project delivery
AWS & Azure Data & AI Platform Architect employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS & Azure Data & AI Platform Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AWS and Azure. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to data architecture and AI platforms. This will give potential employers a clear idea of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as stakeholder engagement is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AWS & Azure Data & AI Platform Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and Azure specifically. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data & AI Platform Architect role. We love seeing enthusiasm and a clear understanding of the job requirements.
Showcase Your Stakeholder Engagement Skills: Since this role involves working closely with stakeholders, make sure to mention any relevant experiences where you’ve successfully engaged with clients or team members. We value communication just as much as technical skills!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Nigel Frank
✨Know Your Cloud Services Inside Out
Make sure you brush up on your knowledge of AWS and Azure. Be prepared to discuss specific services, their use cases, and how they can be integrated into data architectures. This will show that you’re not just familiar with the platforms but can also leverage them effectively.
✨Showcase Your Stakeholder Engagement Skills
Since this role involves excellent stakeholder engagement, think of examples from your past experiences where you successfully communicated complex technical concepts to non-technical stakeholders. Prepare to discuss how you’ve built relationships and managed expectations in previous projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Practice articulating your thought process when designing data architectures or integrating AI solutions. This will demonstrate your ability to think critically and apply your knowledge practically.
✨Highlight Best Practices in Project Delivery
Be ready to talk about best practices you follow in project delivery, especially in cloud-native environments. Discuss methodologies you’ve used, such as Agile or DevOps, and how they’ve contributed to successful outcomes in your previous roles.