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- Tasks: Lead data strategy and architecture across Azure and AWS environments.
- Company: Top fintech software provider in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data solutions in a dynamic fintech environment.
- Qualifications: 10+ years in data architecture with expertise in AWS/Azure services.
- Other info: Collaborative culture with a focus on best practices and compliance.
The predicted salary is between 72000 - 108000 £ per year.
A leading fintech software provider in Greater London seeks an experienced Enterprise Architect - Data & Analytics to drive their data strategy and architecture across Azure and AWS environments. The role requires at least ten years of experience in designing large-scale data solutions and expertise in AWS/Azure services. This position offers strong collaboration with cross-functional teams to create scalable solutions. The ideal candidate will also foster a product engineering mindset and implement best practices for data governance and compliance.
Senior Data & Analytics Enterprise Architect (Cloud & AI) in London employer: Allvue Systems
Contact Detail:
Allvue Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Analytics Enterprise Architect (Cloud & AI) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. You never know who might have a lead on that perfect Senior Data & Analytics Enterprise Architect role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with AWS and Azure. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, podcasts, and forums about data architecture and fintech innovations. This knowledge will not only help you in interviews but also show your passion for the field.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles that match your expertise. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Data & Analytics Enterprise Architect (Cloud & AI) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and Azure services. We want to see how you've designed large-scale data solutions, so don’t hold back on those details!
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, include examples of how you've successfully collaborated in the past. We love seeing teamwork in action!
Highlight Your Data Governance Knowledge: Don’t forget to mention your understanding of data governance and compliance best practices. This is key for us, and we want to know how you’ve implemented these in your previous roles.
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!
How to prepare for a job interview at Allvue Systems
✨Know Your Cloud Inside Out
Make sure you brush up on your knowledge of AWS and Azure services. Be ready to discuss specific projects where you've designed large-scale data solutions using these platforms. Highlight your experience with cloud architecture and how it aligns with the company's needs.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that demonstrate your ability to collaborate effectively. Think about times when you’ve worked with product engineers or other departments to create scalable solutions and how you navigated any challenges.
✨Emphasise Data Governance Expertise
Familiarise yourself with best practices for data governance and compliance. Be prepared to discuss how you've implemented these practices in previous roles and the impact they had on the organisation. This will show that you understand the importance of data integrity in a fintech environment.
✨Adopt a Product Engineering Mindset
The ideal candidate should foster a product engineering mindset. Think about how you can present your approach to problem-solving and innovation in data architecture. Share examples of how you've driven product improvements or efficiencies in past projects.
