At a Glance
- Tasks: Lead the design of innovative data solutions and modernise our data architecture.
- Company: Join a forward-thinking IT services company driving digital transformation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a significant impact on a large-scale digital transformation project.
- Qualifications: Experience with cloud data platforms and strong data governance skills.
- Other info: Be part of a dynamic team with exciting career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Leads the design and implementation of enterprise data architecture, ensuring scalable, secure, and future‐ready data solutions aligned with business goals. This role plays a key part in a large‐scale digital transformation initiative spanning the next five years, supported by significant financial investment. The programme will modernise the organisation's data estate and offers an opportunity to make a large impact within the business.
Key Responsibilities:
- Define and maintain data architecture standards and models.
- Design data platforms, pipelines, and integration layers.
- Lead adoption of modern data tools and platforms (e.g., Microsoft Fabric).
- Ensure data governance, quality, and compliance.
- Collaborate with stakeholders to align data strategy with business needs.
- Support analytics, BI, and AI initiatives through robust data architecture.
Skills & Experience:
- Strong understanding of cloud‐native data platforms (Azure, AWS, GCP).
- Proficient in data modelling, integration patterns, and governance frameworks.
- Experience with BI tools (e.g., Power BI) and semantic modelling.
- Knowledge of data security, compliance (e.g., GDPR), and metadata management.
Desirable:
- Experience with MLOps, streaming technologies, and regulated sectors.
Seniority Level: Mid‐Senior level
Employment Type: Full‐time
Job Function: Information Technology
Industries: IT Services and IT Consulting
Data Architect in London employer: Experis Scotland
Contact Detail:
Experis Scotland 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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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, especially those involving cloud-native platforms like Azure or AWS. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts like data governance and compliance. Be ready to discuss how you've tackled challenges in past roles and how you can contribute to the digital transformation initiative.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the latest Data Architect positions. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with cloud-native data platforms and any relevant projects you've led. We want to see how your skills align with our goals!
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 digital transformation initiative. Keep it engaging and personal.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in data modelling, integration patterns, and governance frameworks. We love seeing specific examples of how you've used these skills in past roles!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Let’s get started on this journey together!
How to prepare for a job interview at Experis Scotland
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data architecture, especially around cloud-native platforms like Azure, AWS, and GCP. Brush up on your knowledge of data modelling and integration patterns, as these will likely come up during the interview.
✨Showcase Your Experience with Modern Tools
Be prepared to discuss your experience with modern data tools and platforms, such as Microsoft Fabric. Highlight specific projects where you’ve successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand Business Alignment
Since this role involves aligning data strategy with business needs, think about how you can articulate your understanding of business goals. Prepare examples of how your previous work has supported analytics, BI, and AI initiatives that drove business success.
✨Prepare for Governance and Compliance Questions
Given the importance of data governance and compliance in this role, be ready to discuss your knowledge of GDPR and other relevant regulations. Share any experiences you have with ensuring data quality and security, as this will show you take these aspects seriously.