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- Tasks: Design and lead data architecture 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 dynamic team with major investment in cloud and AI technologies.
- Why this job: Shape the future of data and AI while making a real difference.
- Qualifications: Experience in data architecture and leading technical teams.
The predicted salary is between 120000 - 120000 £ per year.
Home-based UK | Belfast | Birmingham | London
Up to £120,000 + 10% Bonus + Package
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 Engineer* in England employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer* in England
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in data architecture and AI. We want you to show them you’re not just another candidate, but someone who genuinely understands their mission and can contribute to their success.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. We can’t stress enough how important it is to articulate your experience and skills clearly, especially when discussing complex data challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Software Engineer* in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data Architect. Highlight your experience with data architecture, governance, and cloud technologies. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data transformation and how your background makes you a perfect fit for our team. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any significant data projects, make sure to mention them! We love seeing real-world examples of your work, especially those that demonstrate your ability to solve complex data challenges.
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!
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 and cloud platforms. Be ready to discuss specific projects where you've designed or implemented data solutions, as this will show your hands-on experience.
✨Showcase Your Leadership Skills
Since the role involves leading technical teams, prepare examples that highlight your leadership style and how you've successfully mentored others. Think about times when you set data standards or best practices and be ready to share those stories.
✨Understand Their Business and Clients
Research the company’s recent projects and their impact on sectors like government and healthcare. This will help you tailor your answers to demonstrate how your skills can directly benefit their clients and align with their mission.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data modelling, metadata management, and cloud ecosystems. Brush up on the core data technologies mentioned in the job description and be prepared to explain your thought process in solving complex data challenges.