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- Tasks: Design and deliver enterprise-scale data solutions using Azure Data Services.
- Company: Leading UK consulting firm with a focus on Data & AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape data strategies and make a real impact in a collaborative team.
- Qualifications: Proven experience in Data Architecture and Azure Data Services.
- Other info: Join a growing practice and influence outcomes in an innovative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading consulting firm in the UK is seeking two experienced Data Architects to join their growing Data & AI practice. The role is hybrid, based in London, with responsibilities focused on delivering enterprise-scale data solutions.
Candidates should have:
- A proven experience in Data Architecture
- A strong background in Azure Data Services
- Proficiency in both delivery and pre-sales engagements
This is an opportunity to shape data strategies and influence outcomes in a collaborative environment.
Azure Data Architect: Hybrid Delivery & Pre‑Sales Lead in London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Architect: Hybrid Delivery & Pre‑Sales Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure Data Services. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects related to data architecture and Azure solutions. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Data Architects and practice your responses. Be ready to discuss your experience in delivery and pre-sales engagements, as this is key for the role.
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you. Don’t miss out on the chance to join a leading consulting firm and make an impact in the Data & AI space.
We think you need these skills to ace Azure Data Architect: Hybrid Delivery & Pre‑Sales Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Architecture and Azure Data Services. 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 solutions and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Pre-Sales Experience: Since this role involves pre-sales engagements, make sure to highlight any relevant experience you have in this area. We’re looking for candidates who can effectively communicate technical concepts to clients, so share examples of your 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 Anson McCade
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Data Services. Be prepared to discuss specific projects where you've implemented these services, and how they contributed to the overall data architecture. This will show your depth of understanding and practical experience.
✨Showcase Your Delivery Skills
Prepare examples that highlight your experience in delivering enterprise-scale data solutions. Think about challenges you faced during delivery and how you overcame them. This will demonstrate your problem-solving skills and ability to manage complex projects.
✨Pre-Sales Engagements Matter
Since the role involves pre-sales engagements, be ready to discuss how you've successfully communicated technical concepts to non-technical stakeholders. Share instances where your input influenced a sale or shaped a client’s data strategy.
✨Collaborative Mindset
This position is all about collaboration, so think of examples where you've worked effectively in a team. Highlight how you’ve contributed to a positive team dynamic and how you’ve influenced outcomes through teamwork. This will resonate well with the firm's culture.
