Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape and evolve a modern enterprise data landscape in a dynamic environment.
- Company: Leading professional services firm with a strong focus on technology and innovation.
- Benefits: Hybrid working, flexible culture, and exposure to AI and advanced analytics.
- Why this job: Play a strategic role in defining data architecture and making a real impact.
- Qualifications: Experience in Data Architecture, data modelling, and governance frameworks.
- Other info: Collaborative environment with strong leadership support for data initiatives.
The predicted salary is between 43200 - 72000 ÂŁ per year.
đź“Ť Central London | Hybrid Working, 2 days in office
The Opportunity
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
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
- 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 in London employer: Levick Stanley
Contact Detail:
Levick Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. Whether it's a personal website or a GitHub repo, let your work speak for itself and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with data modelling, governance, and how you've influenced stakeholders in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Architects. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Architect role. Highlight your experience with data architecture principles, Azure platforms, and any relevant projects that showcase your skills in designing scalable data solutions.
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 governance or designed robust data pipelines in previous positions. Make it personal and engaging!
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Mention your expertise in data modelling, ETL/ELT processes, and any experience with AI/ML foundations. We want to see how you can contribute to our modern data landscape.
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 from us!
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 enterprise and dimensional data modelling, as well as the latest trends in Azure-based platforms. Being able to discuss these topics confidently will show that you’re not just familiar with the role but genuinely passionate about it.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to explain how you would design scalable data pipelines and establish integration patterns. Practise articulating your thought process clearly, as this will demonstrate your strategic thinking and hands-on architectural depth.
✨Showcase Your Governance Knowledge
Since data governance and quality frameworks are crucial in this role, prepare examples from your past experiences where you’ve successfully implemented these practices. Highlight your understanding of privacy and compliance, especially in regulated environments, to reassure them that you can navigate these complexities.
✨Engage with Stakeholders
This role requires influencing both technical and business stakeholders, so be prepared to discuss how you’ve done this in previous positions. Share specific instances where you’ve collaborated across teams to achieve a common goal, showcasing your ability to communicate effectively and build relationships.