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- Tasks: Lead the design of scalable data architectures and drive data strategy.
- Company: A top fintech firm in Greater London with a focus on innovation.
- Benefits: Competitive pay and a range of attractive benefits.
- Why this job: Shape the future of data analytics in a dynamic fintech environment.
- Qualifications: 10+ years in data solutions with expertise in AWS and Azure.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 54000 - 84000 £ per year.
A leading fintech firm in Greater London is seeking an experienced Enterprise Architect – Data & Analytics to drive the D&A strategy and implement scalable data architectures. The ideal candidate will have at least ten years of experience in designing large-scale data solutions, with proven expertise in AWS and Azure services.
Responsibilities include:
- Leading data architecture development
- Establishing data governance best practices
- Collaborating with teams to ensure alignment with business objectives
This role offers competitive pay and various benefits.
Cloud Data & Analytics Enterprise Architect (AI-Enabled) in London employer: Allvue Systems, LLC
Contact Detail:
Allvue Systems, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data & Analytics Enterprise Architect (AI-Enabled) 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. 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 services. This will help you stand out during interviews and demonstrate your expertise in designing large-scale data solutions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating how you've led data architecture development and established governance best practices in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting opportunities, and applying directly can give you an edge. Plus, it shows your enthusiasm for joining our team!
We think you need these skills to ace Cloud Data & Analytics Enterprise Architect (AI-Enabled) in London
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 the role, 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 passionate about data architecture and how your background makes you the perfect fit for our D&A strategy. Let us know what excites you about this opportunity!
Showcase Your Leadership Skills: Since this role involves leading data architecture development, make sure to highlight any leadership experiences you have. We love to see examples of how you've collaborated with teams and driven projects to success.
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, we can’t wait to hear from you!
How to prepare for a job interview at Allvue Systems, LLC
✨Know Your Cloud Services
Make sure you brush up on your knowledge of AWS and Azure services. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Governance Skills
Prepare examples of how you've established data governance best practices in previous roles. Highlight your understanding of compliance and security measures, as this will be crucial for the fintech sector.
✨Align with Business Objectives
Think about how your past experiences align with the business objectives of the company. Be prepared to discuss how your data architecture strategies have driven business success in the past.
✨Collaborative Mindset
This role requires collaboration with various teams, so be ready to share examples of how you've successfully worked with cross-functional teams. Emphasise your communication skills and ability to lead discussions around data architecture.
