Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape and evolve a modern enterprise data landscape with cutting-edge technology.
- Company: Dynamic professional services firm with a strong focus on data and AI.
- Benefits: Hybrid working, competitive salary, and opportunities for career growth.
- Why this job: Play a pivotal role in defining data architecture and influencing business strategy.
- Qualifications: Proven experience in Data Architecture and expertise in Azure data services.
- Other info: Collaborative environment with exposure to AI and advanced analytics.
The predicted salary is between 54000 - 84000 £ per year.
We're seeking an experienced Data Architect to play a pivotal role in shaping and evolving a modern enterprise data landscape within a complex, regulated professional services environment. This is not a support function role. Technology is central to the organisation's growth strategy, with strong executive sponsorship and sustained investment in data, analytics, and AI capabilities. You'll be responsible for defining the architectural vision that enables trusted, accessible, secure, and high-quality data across the business.
The Role
- Define and maintain enterprise-wide data architecture principles and standards
- Own and evolve the enterprise data model
- Design scalable Azure-based data platforms and target architectures
- Architect robust data pipelines (ETL/ELT and streaming)
- Establish integration patterns across APIs, messaging, and batch processes
- Define Master Data Management (MDM) patterns
- Embed governance, stewardship, and data quality frameworks
- Ensure regulatory and privacy-by-design compliance
- Enable AI/ML data foundations and modern data product approaches
- Provide architectural oversight across major programmes
This role requires both strategic thinking and hands-on architectural depth.
What We're Looking For
- Proven experience in Data Architecture or Enterprise Data roles
- Strong expertise across Azure data services
- Deep knowledge of data modelling (enterprise & dimensional)
- Experience designing modern data platforms and pipelines
- Strong understanding of data governance and quality frameworks
- Knowledge of privacy, compliance, and regulated environments
- Ability to influence both technical and business stakeholders
Why Apply?
- Strategic, business-critical role
- Strong leadership sponsorship of data initiatives
- Opportunity to shape long-term architecture direction
- Exposure to AI and advanced analytics programmes
- Hybrid working and flexible culture
- Highly collaborative, multi-disciplinary environment
If you're a forward-thinking Data Architect looking to shape a modern, secure, enterprise data platform in a complex environment — we'd love to hear from you.
Data Architect employer: Levick Stanley
Contact Detail:
Levick Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to connections in the data architecture field on LinkedIn or at industry events. 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
Show off your skills! Create a portfolio showcasing your previous projects and achievements in data architecture. This is your chance to demonstrate your expertise in Azure data services and data modelling, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on both technical and business aspects of data architecture. We recommend practising common interview questions and scenarios related to data governance and compliance to impress those hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Architect role. Highlight your experience with Azure data services and any relevant projects that showcase your skills in data modelling and architecture.
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 how you've influenced data strategy in previous positions and how you can contribute to our vision at StudySmarter.
Showcase Your Technical Skills: Don’t shy away from listing your technical expertise! We want to see your knowledge of data governance, compliance, and any hands-on experience with ETL/ELT processes. Make it easy for us to see your capabilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Levick Stanley
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles and standards of data architecture. Brush up on your knowledge of Azure data services, data modelling, and governance frameworks. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can also apply them strategically.
✨Showcase Your Hands-On Experience
Prepare to share specific examples from your past roles where you’ve designed scalable data platforms or architected robust data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it easy for interviewers to see your impact and expertise.
✨Understand the Business Context
Research the company’s business model and how data plays a role in their growth strategy. Be ready to discuss how your architectural vision can align with their goals, especially in terms of AI and advanced analytics. This shows you’re not just a techie but also a strategic thinker who understands the bigger picture.
✨Prepare for Stakeholder Engagement
Since influencing both technical and business stakeholders is key, think about how you can demonstrate your communication skills. Prepare to discuss how you’ve successfully collaborated with different teams in the past, and be ready to articulate complex ideas in a way that non-technical stakeholders can understand.