At a Glance
- Tasks: Lead data architecture for major projects and shape end-to-end data strategies.
- Company: Join a top global consultancy transforming public and private sectors.
- Benefits: Competitive salary, comprehensive package, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and lead high-performing teams.
- Why this job: Make a significant impact on large-scale transformation programmes with cutting-edge technology.
- Qualifications: Experience in data architecture, Azure, and modern data platforms required.
The predicted salary is between 70000 - 90000 £ per year.
We are partnering with a leading global consultancy delivering complex, large-scale transformation programmes across government and enterprise clients.
This is a high-impact Data Architect role where you will shape end-to-end data strategy and architecture across mission-critical platforms.
The Role
- You will take ownership of defining and delivering data architecture across major programmes, including:
- Designing enterprise-wide data models, integration strategies, and migration approaches
- Leading architecture for distributed and cloud-based data platforms
- Setting standards, frameworks, and governance for delivery teams
- Working across microservices and big data environments
- Acting as a technical leader and mentor within high-performing teams
What We’re Looking For
- Strong background in data architecture and software engineering
- Experience across Azure, big data technologies, and modern data platforms
- Ability to work hands-on when needed (Java, Scala, Python)
- Expertise in data modelling, integration, and microservices architecture
- Strong stakeholder engagement skills
Data Architect (Manager) in London employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (Manager) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your past projects, especially those involving Azure, big data technologies, and cloud-based platforms. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Architect (Manager) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Architect role. Highlight your background in data architecture, software engineering, and any relevant technologies like Azure or big data platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! Mention your hands-on experience with programming languages like Java, Scala, or Python, and how you've applied them in real-world scenarios.
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 during the process.
How to prepare for a job interview at ANSON MCCADE
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture principles and the specific technologies mentioned in the job description, like Azure and big data platforms. Brush up on your knowledge of data modelling and integration strategies, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Since this is a managerial role, be prepared to discuss your experience leading teams and mentoring others. Think of specific examples where you’ve successfully guided a project or helped a colleague grow their skills. This will demonstrate your capability as a technical leader.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around microservices and cloud-based architectures. Practise explaining complex concepts in simple terms, as you may need to communicate these ideas to stakeholders who aren’t as technically savvy.
✨Engage with Stakeholders
Highlight your experience working with various stakeholders. Prepare to discuss how you’ve managed relationships and communicated effectively across different teams. This will show that you understand the importance of collaboration in delivering successful data architecture solutions.