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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, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data analytics in finance.
- Qualifications: 10+ years in data solutions with expertise in AWS and Azure.
- Other info: Collaborative environment with a strong emphasis on data governance.
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) 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)
✨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! Create a portfolio or a case study showcasing your experience with AWS and Azure services. This will not only highlight your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company’s data architecture and governance practices. Being able to discuss how you can align their objectives with your experience will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Cloud Data & Analytics Enterprise Architect (AI-Enabled)
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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 the 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 any frameworks or methodologies you've used and be ready to explain how they align with business objectives.
✨Collaboration is Key
This role involves working closely with various teams, so be prepared to discuss your experience in cross-functional collaboration. Share specific instances where your teamwork led to successful project outcomes.
✨Align with Business Objectives
Understand the company's mission and how the D&A strategy fits into it. Be ready to articulate how your experience can help drive their goals forward, demonstrating that you’re not just a tech expert but also a strategic thinker.
