At a Glance
- Tasks: Influence the development of data and AI solutions while mentoring a growing team.
- Company: Leading Microsoft partner in London with a focus on innovation.
- Benefits: Flexible hybrid work, knowledge-sharing culture, and ongoing professional development.
- Other info: Attend client sessions in London once a week for collaborative opportunities.
- Why this job: Shape the future of data and AI while working with top industry professionals.
- Qualifications: Strong understanding of Azure services and experience in complex data architecture.
The predicted salary is between 48000 - 72000 £ per year.
A leading Microsoft partner in London is seeking a Data & AI Architect to influence the development of data and AI solutions. You will work closely with senior stakeholders, guiding architectural directions and mentoring a growing team. Ideal candidates will have a strong understanding of Azure services and experience in complex data architecture. This hybrid role allows flexibility, with expected attendance for client sessions in London once a week. Join a culture focused on knowledge-sharing and ongoing development.
Senior Data & AI Architect – Hybrid (London) employer: Nigel Frank
As a leading Microsoft partner in London, we pride ourselves on fostering a collaborative and innovative work environment where knowledge-sharing is at the forefront. Our hybrid model offers flexibility while ensuring you remain connected with your team and clients, providing ample opportunities for professional growth and mentorship. Join us to be part of a dynamic culture that values your expertise and encourages continuous development in the exciting field of data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Architect – Hybrid (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure services. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience in complex data architecture. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating your architectural decisions and how they align with business goals.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data & AI Architect – Hybrid (London)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Azure services and complex data architecture in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how you can influence the development of data and AI solutions and your approach to mentoring a team. It’ll make a big difference!
Be Authentic:Let your personality shine through in your written application. We’re all about knowledge-sharing and ongoing development, so show us your passion for data and AI and how you fit into our culture.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and keep everything organised. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Nigel Frank
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services. Be prepared to discuss specific projects where you've implemented these services, as well as any challenges you faced and how you overcame them.
✨Showcase Your Mentoring Skills
Since this role involves guiding a growing team, think of examples where you've successfully mentored others. Highlight your approach to knowledge-sharing and how it contributed to the team's success.
✨Understand Stakeholder Needs
Research the company and its clients to understand their data and AI needs. Be ready to discuss how you would align architectural directions with stakeholder expectations and business goals.
✨Prepare for Hybrid Work Dynamics
As this is a hybrid role, be ready to talk about your experience working in flexible environments. Discuss how you manage communication and collaboration with remote teams while ensuring productivity.
