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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 60000 - 84000 £ 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) 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)
✨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. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with AWS and Azure. Highlight those large-scale data solutions you've designed – it’s all about demonstrating your expertise!
✨Tip Number 3
Get ready for the interview! Research the company’s data strategy and think about how you can contribute. Be prepared to discuss your approach to data governance and compliance, as well as your collaboration with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented folks 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 & Analytics Enterprise Architect (Cloud & AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in designing large-scale data solutions, especially with AWS and Azure. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data & Analytics Enterprise Architect role. Share specific examples of how you've driven data strategy and architecture in previous roles.
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, make sure to highlight your collaboration experiences. We love seeing how you’ve worked with others to create scalable solutions, so share those stories!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Allvue Systems
✨Know Your Cloud Platforms 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 their tools and how you've leveraged them to drive data strategy.
✨Showcase Your Collaboration Skills
This role involves working closely with cross-functional teams, so be prepared to share examples of how you've successfully collaborated in the past. Think about times when you brought different stakeholders together to create scalable solutions and how you navigated any challenges.
✨Emphasise Data Governance and Compliance
Familiarise yourself with best practices for data governance and compliance. Be ready 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 these aspects in a fintech environment.
✨Adopt a Product Engineering Mindset
The ideal candidate should foster a product engineering mindset. Prepare to talk about how you've approached data architecture with a focus on user needs and product outcomes. Share examples of how you've balanced technical requirements with business goals to deliver effective solutions.
