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- Tasks: Design and maintain data models while optimising architectures across cloud platforms.
- Company: Join a forward-thinking company harnessing data, cloud, and AI for impactful insights.
- Benefits: Permanent position with opportunities for growth and collaboration in a dynamic environment.
- Why this job: Make a real impact by shaping data solutions and enabling ethical AI capabilities.
- Qualifications: 3+ years in data architecture with expertise in cloud-native platforms and data governance.
- Other info: Mentor junior team members and promote a culture of collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Our client, whose mission is to harness the power of data, cloud, and AI to deliver meaningful insights and smarter business outcomes, is expanding and looking for a Data Architect to join their team on a permanent basis.
What You’ll Do
- Design and maintain data models (conceptual, logical, physical) for enterprise and analytical needs.
- Develop and evolve data architecture standards aligned with frameworks like TOGAF or Zachman.
- Support data mesh adoption—including data products, contracts, and governance.
- Define data integration and pipeline strategies using APIs, streaming, and orchestration tools.
- Optimise architectures across cloud platforms (Azure, AWS, GCP), covering lakehouse, warehouse, and virtualization layers.
- Enable AI and GenAI capabilities with a focus on ethical and responsible AI.
- Collaborate with stakeholders to translate business needs into scalable data solutions.
- Mentor junior team members and promote a culture of collaboration.
- Ensure compliance with data security, privacy, and regulatory requirements (e.g., GDPR).
What you’ll bring
- 3+ years’ experience in data architecture or related roles.
- Strong grasp of enterprise architecture frameworks (TOGAF, Zachman).
- Expertise in cloud-native data platforms (Azure, AWS, GCP) and data modelling.
- Experience with data mesh, governance, and integration/orchestration tools (Kafka, Airflow, dbt).
- Knowledge of lakehouse and virtualization concepts.
- Exposure to AI/GenAI initiatives and ethical data practices.
- Skilled communicator with experience mentoring others in matrix environments.
- Aware of regulatory and compliance standards (GDPR, ISO27001).
Interested? Apply now or send your CV to Chinmaye.ramnath@james-chase.com
Data Architect employer: James Chase
Contact Detail:
James Chase 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 people in the industry, attend meetups, and connect with potential colleagues 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 data architecture projects, including any cool data models or cloud solutions you've designed. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process when designing data solutions, as this will help you stand out during technical interviews.
✨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 reflects the skills and experiences that align with the Data Architect role. Highlight your expertise in data architecture frameworks like TOGAF or Zachman, and don’t forget to mention your cloud platform experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your background makes you a perfect fit for our client’s mission. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's data modelling or implementing data mesh strategies, real examples can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly 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 updates!
How to prepare for a job interview at James Chase
✨Know Your Data Models
Make sure you brush up on your data modelling skills. Be ready to discuss conceptual, logical, and physical models in detail. Think about how you've applied these in past roles and be prepared to share specific examples.
✨Familiarise with Frameworks
Since the role involves frameworks like TOGAF and Zachman, it’s crucial to understand their principles. We suggest reviewing how these frameworks can be applied to data architecture and preparing to discuss your experience with them.
✨Showcase Cloud Expertise
With a focus on cloud platforms like Azure, AWS, and GCP, make sure you can talk about your experience with these technologies. Prepare to explain how you've optimised architectures across these platforms and any challenges you've faced.
✨Emphasise Collaboration and Mentorship
This role requires collaboration and mentoring junior team members. Think of examples where you've successfully worked with stakeholders or guided others. Highlight your communication skills and how you foster a collaborative environment.