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- Tasks: Design and lead enterprise-scale data architectures for impactful transformation programmes.
- Company: Leading digital transformation consultancy in the UK and Ireland.
- Benefits: Up to £120,000 salary, 10% bonus, and comprehensive package.
- Other info: Join a rapidly growing team with major investments in cloud and AI technologies.
- Why this job: Shape the future of data architecture and make a real difference in public services.
- Qualifications: Proven experience in data architecture and leading technical teams.
The predicted salary is between 120000 - 120000 £ per year.
Our client is one of the UK and Ireland’s leading digital transformation consultancies, delivering large-scale programmes across government, healthcare, defence, and enterprise organisations. They have built a strong reputation for combining high-level consulting with deep technical engineering capability, giving teams the opportunity to work on genuinely complex, high-impact data and AI transformation programmes.
Due to continued growth across their Data & AI practice, they are looking for an experienced Data Architect to join the business at Manager level. You will work closely with clients to shape data architecture approaches, solve complex data challenges, and lead teams delivering modern data platforms across large-scale transformation programmes. You will also play a key role internally through technical leadership, mentoring, standards definition, and helping grow the wider data capability.
- Designing enterprise-scale data architectures across complex transformation programmes
- Leading on data modelling, data flows, metadata management, governance, migration, and transformation
- Working closely with clients to define scalable, fit-for-purpose data solutions
- Supporting data platform, data lake, and modern cloud-based data ecosystem initiatives
- Helping clients improve data governance, data quality, and information management practices
- Proven consulting experience delivering data-focused transformation programmes
- Deep expertise across core data architecture disciplines
- Experience leading technical teams and setting data standards and best practices
- Experience evaluating and selecting enterprise data technologies
- Highly proficient across multiple mainstream data technologies
- Enterprise Data Architecture
- Data governance frameworks and operating models
- Data lake architecture and ecosystem design
- Information handling models and capacity planning
- Large-scale cloud data platform environments
You will be joining a business trusted to deliver some of the UK’s most visible and important digital transformation programmes. Their Data & AI capability continues to grow rapidly, with major investment across cloud, AI, analytics, and modern data platforms. You will work alongside experienced architects, engineers, consultants, and AI specialists on projects that directly impact public services and large-scale organisational transformation.
Software-ontwikkelaar in England employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software-ontwikkelaar in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 projects and achievements. This is your chance to demonstrate your expertise in data architecture and how you can solve complex challenges.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data architecture. Be ready to discuss your experience with data governance and cloud platforms, as these are hot topics right now.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Software-ontwikkelaar in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data architecture, governance, and cloud technologies. We want to see how your skills match what we're looking for!
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 you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We want to see examples of your work in data modelling, governance, or cloud platforms. Real-world experience speaks volumes!
Apply Through Our Website: Don't forget to apply 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 Data Architecture Inside Out
Make sure you brush up on your knowledge of enterprise-scale data architectures and the latest trends in data governance. Be ready to discuss specific examples from your past experiences where you've successfully designed or implemented data solutions.
✨Showcase Your Leadership Skills
As a Data Architect, you'll be expected to lead teams and mentor others. Prepare to share stories that highlight your leadership style and how you've guided teams through complex data challenges. This will demonstrate your ability to take charge and inspire confidence.
✨Understand the Client's Needs
Research the company and its clients thoroughly. Be prepared to discuss how you would approach defining scalable, fit-for-purpose data solutions for their specific challenges. Tailoring your responses to their context will show that you're genuinely interested and invested.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions about data modelling, cloud platforms, and data governance frameworks. Brush up on your knowledge of mainstream data technologies and be prepared to explain your thought process when evaluating and selecting these technologies.