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- Tasks: Design and deliver cloud-native data architecture while integrating AI capabilities.
- Company: Leading digital transformation organisation in Greater London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Drive impactful AI use cases and shape the future of enterprise systems.
- Qualifications: Experience in data platform design and familiarity with Microsoft Fabric and Databricks.
- Other info: Join a dynamic team focused on innovation and digital transformation.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital transformation organization in Greater London is recruiting a Data & AI Architect to support the design and delivery of cloud-native data architecture. The successful applicant will guide the architectural direction for integrating AI capabilities into enterprise systems.
Key responsibilities include:
- Designing architecture patterns
- Ensuring data governance
- Leading interoperability strategies
Essential requirements include:
- Experience in data platform design
- Hands-on experience with tools like Microsoft Fabric and Databricks
Join us to drive impactful AI use cases across the organization.
Data & AI Architect for Cloud‑Native Enterprise AI employer: UBDS Digital
Contact Detail:
UBDS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Architect for Cloud‑Native Enterprise AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data architecture and AI. We want to see your hands-on experience with tools like Microsoft Fabric and Databricks in action!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data governance and interoperability strategies. We recommend practising with a friend or even in front of the mirror to boost your confidence.
✨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 Data & AI Architect for Cloud‑Native Enterprise AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data platform design and any hands-on work with tools like Microsoft Fabric and Databricks. We want to see how your skills align with the role of Data & AI Architect, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cloud-native data architecture and how you can contribute to our mission of integrating AI capabilities into enterprise systems. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any projects that involved designing architecture patterns or ensuring data governance, make sure to mention them. We love seeing real-world examples of your work, as they give us insight into your problem-solving skills and creativity.
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. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at UBDS Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud-native data architecture and the tools mentioned, like Microsoft Fabric and Databricks. Brush up on your experience with data platform design and be ready to discuss specific projects where you’ve successfully implemented these technologies.
✨Showcase Your AI Integration Skills
Prepare examples of how you've integrated AI capabilities into enterprise systems. Be ready to explain your thought process behind architectural decisions and how they drove impactful use cases. This will demonstrate your ability to guide the architectural direction effectively.
✨Understand Data Governance
Familiarise yourself with data governance principles and be prepared to discuss how you ensure compliance and quality in your designs. Highlight any past experiences where you’ve led governance strategies, as this is crucial for the role.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current data architecture challenges and their vision for AI integration. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
