At a Glance
- Tasks: Map and optimise data flows, design cloud architectures, and support AI/ML infrastructure.
- Company: Leading organisation undergoing a major technology transformation.
- Benefits: Competitive salary up to £125,000 and flexible working in London.
- Other info: Join a dynamic team and play a key role in large-scale transformations.
- Why this job: Shape the future of technology and make a real impact on data architecture.
- Qualifications: Strong experience with AWS/GCP and enterprise architecture governance.
The predicted salary is between 72000 - 88000 £ per year.
We’re currently working with a leading organisation undergoing a major technology transformation, and we’re looking for an experienced Data Architect to join their Architecture & Integration team. This is a key role where you’ll help shape the future of a complex hybrid technology estate, working across cloud, hosted and on-premises environments.
Location: London
Salary: Up to £125,000
Start: ASAP
What you’ll be doing:
- Map and optimise current-state data flows across the technology estate
- Design cloud-first target architectures
- Define and govern data architecture standards across projects and platforms
- Lead the design of modern cloud data platforms, including lakehouse architectures
- Shape streaming and batch data pipelines
- Support data infrastructure for AI/ML and GenAI/RAG use cases
- Engage with projects from the early stages, ensuring architecture is properly designed and documented
- Represent data architecture within technical governance forums
What we’re looking for:
- Strong experience across AWS and/or GCP data services
- Experience with enterprise architecture governance, such as TDA, ARB or equivalent
- Ability to work from high-level data strategy through to detailed pipeline architecture
- Strong understanding of modern cloud data architecture and data platforms
- Experience working across complex, hybrid technology estates
- Experience with Oracle modernisation would be advantageous
If you’re an experienced Data Architect looking for the opportunity to play a key role in a large-scale technology transformation, we’d love to hear from you.
Data Architect in London employer: Switch Tech Talent
Join a dynamic and innovative AI SaaS scale-up in London, where you'll have the opportunity to take ownership of the full product lifecycle and collaborate with cross-functional teams. With a strong focus on employee growth, this company fosters a supportive work culture that encourages creativity and problem-solving, while offering competitive salaries and the flexibility of a hybrid working model. Be part of a forward-thinking team that is shaping the future of customer engagement through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Switch Tech Talent!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Switch Tech Talent.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Switch Tech Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Switch Tech Talent, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect in London
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 Switch Tech Talent, 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 Switch Tech Talent. 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 Switch Tech Talent
✨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 Switch Tech Talent!
✨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.
