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- Tasks: Design modern data architectures and align data with business goals.
- Company: Leading consulting firm partnering with financial services organisations.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Influence data strategy and drive transformation in the finance sector.
- Qualifications: Experience with cloud platforms like Azure and AWS, strong data modelling skills.
- Other info: Dynamic role with a chance to work on impactful projects.
The predicted salary is between 48000 - 72000 £ per year.
A leading consulting firm is looking for an experienced Data Architect to partner with financial services organizations. You will design modern data architectures and work with stakeholders to align data with business goals.
Key skills include:
- Experience with cloud platforms like Azure and AWS
- Strong data modeling
- Excellent communication abilities
If you thrive on turning complex data landscapes into strategic assets, this role offers an opportunity to influence data strategy and drive transformation.
Data Architect: Cloud-Driven, Finance Data Strategy employer: Entasis Partners
Contact Detail:
Entasis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect: Cloud-Driven, Finance Data Strategy
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data architecture space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal project that highlights your experience with cloud platforms like Azure and AWS. This will give you an edge when discussing your capabilities.
✨Tip Number 3
Prepare for those interviews! Brush up on your data modelling techniques and be ready to discuss how you've aligned data strategies with business goals in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to connect with opportunities that match your skills, so take advantage of it and get your application in!
We think you need these skills to ace Data Architect: Cloud-Driven, Finance Data Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud platforms like Azure and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing your data modelling expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain how you can turn complex data landscapes into strategic assets. We love seeing your personality come through, so keep it engaging and relevant.
Showcase Communication Skills: Since excellent communication is key for this role, make sure to highlight any experiences where you've successfully collaborated with stakeholders. We want to know how you can bridge the gap between data and business goals!
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 in shaping finance data strategy!
How to prepare for a job interview at Entasis Partners
✨Know Your Cloud Platforms
Make sure you brush up on your knowledge of cloud platforms like Azure and AWS. Be ready to discuss specific projects where you've utilised these technologies, as well as how they can be leveraged in financial services.
✨Master Data Modelling
Prepare to showcase your data modelling skills. Bring examples of how you've designed data architectures in the past, and be ready to explain your thought process behind aligning data with business goals.
✨Communicate Clearly
Since excellent communication is key for this role, practice articulating complex concepts in a simple way. Think about how you can explain your previous work to stakeholders who may not have a technical background.
✨Show Your Strategic Thinking
Be prepared to discuss how you've turned complex data landscapes into strategic assets. Think of specific instances where your work has influenced data strategy and driven transformation within an organisation.
