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For Companies At a Glance
- Tasks: Design modern data architectures and align data with business goals.
- Company: Leading consulting firm partnering with financial services.
- Benefits: Competitive salary, flexible work options, and professional growth opportunities.
- 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 make a real impact.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data architecture space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your cloud platform knowledge, especially Azure and AWS. We recommend creating a portfolio of your past projects to showcase your data modelling skills and how you've aligned data with business goals.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that resonate with your values and career goals. Use our website to find roles that match your skills and interests, and tailor your approach to each one.
✨Tip Number 4
Follow up after interviews! A simple thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind as they make their decision.
We think you need these skills to ace Data Architect: Cloud-Driven, Finance Data Strategy in London
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 and passion for data architecture come through.
Showcase Communication Skills: Since this role involves working with stakeholders, it’s crucial to demonstrate your excellent communication abilities. We recommend including examples of how you've successfully collaborated with others 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 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 your previous work that demonstrate your ability to design effective data architectures. Think about how you can explain complex concepts in a way that aligns with business goals.
✨Communicate Clearly
Since excellent communication is key for this role, practice articulating your thoughts clearly and concisely. Consider doing mock interviews with friends or colleagues to refine your ability to explain technical details to non-technical stakeholders.
✨Align with Business Strategy
Research the consulting firm’s approach to data strategy in the finance sector. Be prepared to discuss how you can align data architecture with their business objectives, showcasing your understanding of both data and business needs.
