At a Glance
- 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.
- Other info: Mentor junior team members and promote a culture of collaboration.
- 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.
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 in Cambridge employer: James Chase
Join a dynamic healthcare AI company that is revolutionising patient care through innovative machine learning solutions. With a strong focus on employee growth, you will have the opportunity to take ownership of core ML systems while enjoying a collaborative work culture in a hybrid setting from our Central London office. Benefit from competitive salary packages, meaningful equity, and the chance to make a real-world impact in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Cambridge
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Architect in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at James Chase, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at James Chase. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at James Chase
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at James Chase!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
