At a Glance
- Tasks: Design secure, scalable platforms and shape data strategy for enterprise transformation.
- Company: Metrica Recruitment, a leader in AI and cloud consulting.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Engage with clients and senior stakeholders in a dynamic, innovative environment.
- Why this job: Make a real impact by transforming enterprises with cutting-edge AI and cloud solutions.
- Qualifications: Experience in data architecture and strong knowledge of AWS, Azure, or GCP.
The predicted salary is between 72000 - 88000 £ per year.
Metrica Recruitment seeks a Senior Data Architect specialising in AI and cloud consulting.
You will design secure, scalable platforms across AWS, Azure or GCP and own key architecture choices for enterprise transformation projects.
You will shape data strategy, AI governance and responsible operating models, turning ideas into Po Cs, MVPs and production designs, with frequent client interaction and senior stakeholder advisory.
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Senior Data Architect - Enterprise AI & Cloud Transformation in London employer: Metrica Recruitment
As a Lead Full Stack Engineer - Generative AI at our global digital and technology consultancy in Central London, you will thrive in a dynamic work culture that prioritises innovation, sustainability, and social impact. We offer flexible hybrid working arrangements, robust opportunities for professional growth, and the chance to lead multidisciplinary teams on high-profile projects that make a real difference. Join us to influence technical direction and mentor fellow engineers while delivering cutting-edge AI solutions that drive measurable outcomes for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect - Enterprise AI & Cloud Transformation in London
✨Get Involved in Data Science Meetups
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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 Metrica Recruitment.
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We think you need these skills to ace Senior Data Architect - Enterprise AI & Cloud Transformation 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 Metrica Recruitment, 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 Metrica Recruitment. 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 Metrica Recruitment
✨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 Metrica Recruitment!
✨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.
