Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of scalable data and AI platforms while mentoring teams.
- Company: Innovative tech firm based in Manchester with a focus on data solutions.
- Benefits: Competitive salary, hybrid working, 25 days holiday, and extensive benefits.
- Other info: Continuous training for career progression in a dynamic environment.
- Why this job: Shape the future of data architecture and make a real impact in tech.
- Qualifications: Strong experience in data architecture and cloud platforms required.
The predicted salary is between 65000 - 85000 £ per year.
We’re hiring an experienced Data & Machine Learning Architect to lead the design of modern, scalable data and AI platforms. This role is ideal for someone who enjoys setting technical direction, shaping strategy, and guiding teams to deliver intelligent, enterprise‑grade solutions.
What you’ll have the opportunity to do as a Data Architect:
- Defining and owning data and machine learning architecture across complex programmes
- Designing scalable cloud‑based data platforms and AI solutions that align to business goals
- Providing technical leadership across data engineering, ML and analytics delivery
- Establishing architectural standards around data modelling, governance, quality and security
- Working closely with senior stakeholders to translate business needs into technical roadmaps
- Mentoring engineers and architects while promoting best practice and innovation
About the Candidate:
The right Data Architect should have:
- Strong experience in data architecture, ML architecture or advanced data engineering roles
- Deep understanding of cloud platforms and modern data architectures
- Proven ability to design and govern large‑scale data and AI solutions
- Experience with CI/CD, MLOps and infrastructure‑as‑code approaches
- Confident communicator able to work with both technical and non‑technical audiences
- Eligible for SC clearance (5+ years continuous UK residency)
What’s in it for you?
- Salary from £65,000 to £85,000 + Bonus
- Hybrid working based in Manchester
- 25 Days holiday per annum
- Extensive benefits package
- Continuous training provided for career progression
To hear more about the Data & Machine Learning Architect role contact Daire McIlhatton at daire.mcilhatton@ansonmccade.com
Data Architect in Newcastle upon Tyne employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend meetups, webinars, or even local tech events in Manchester. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving cloud-based data platforms and AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with CI/CD, MLOps, and how you've led teams in the past. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Architect role. Plus, it shows you’re serious about joining our team and makes it easier for us to find your application.
We think you need these skills to ace Data Architect in Newcastle upon Tyne
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 experience with data architecture, cloud platforms, and any relevant projects you've led. We want to see how you can bring value to our team!
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 aligns with our needs. Don’t forget to mention your experience in mentoring and leading teams, as that’s super important for us.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, especially in areas like CI/CD, MLOps, and infrastructure-as-code. We’re looking for someone who can lead the charge in designing scalable data platforms, so let us know what you’ve done!
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. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Data Architecture Inside Out
Make sure you brush up on your knowledge of data architecture and machine learning principles. Be ready to discuss your past experiences in designing scalable cloud-based platforms and how they align with business goals. This will show that you’re not just familiar with the concepts, but that you can apply them effectively.
✨Prepare for Technical Questions
Expect to face technical questions about CI/CD, MLOps, and infrastructure-as-code. We recommend practising your responses to common scenarios you might encounter in these areas. Being able to articulate your thought process and decision-making will demonstrate your expertise and confidence.
✨Showcase Your Leadership Skills
As a Data Architect, you’ll need to provide technical leadership. Prepare examples of how you’ve mentored teams or established architectural standards in previous roles. Highlighting your ability to guide others while promoting best practices will set you apart from other candidates.
✨Communicate Effectively with Stakeholders
Since this role involves working closely with senior stakeholders, practice explaining complex technical concepts in simple terms. We suggest preparing a few examples where you successfully translated business needs into technical roadmaps. This will showcase your communication skills and your ability to bridge the gap between technical and non-technical audiences.