At a Glance
- Tasks: Lead data architecture projects and mentor a team of engineers in a hybrid work environment.
- Company: Join Capital One UK, a leader in cloud and AI innovation.
- Benefits: Enjoy a flexible work schedule, competitive salary, and career development opportunities.
- Other info: Work in a collaborative culture with a focus on innovation and growth.
- Why this job: Shape the future of data processing and make a significant impact in a dynamic team.
- Qualifications: Experience in data architecture and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
Capital One UK is seeking a Senior Manager Architect - Data in London or Nottingham. This permanent role embraces a hybrid pattern with three days in the office (Tuesday to Thursday) and two days remote, arranging a flexible environment to lead data architecture at scale.
You will shape cloud-scale data processing, storage and data products, partner with product, engineering and governance teams, and mentor a team of engineers and data professionals to deliver secure, compliant solutions.
Hybrid Senior Data Architecture Lead – Cloud & AI in London employer: Capital One
At Capital One, we believe in empowering our employees to make a meaningful impact in their communities. As a Café Ambassador in the Bronx, you'll enjoy a vibrant work culture that prioritises inclusivity and personal growth, alongside a comprehensive benefits package that supports your well-being and career development. Join us to be part of a mission-driven team where your contributions are valued and you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Senior Data Architecture Lead – Cloud & AI in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Hybrid Senior Data Architecture Lead – Cloud & AI 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capital One. 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 Capital One
✨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!
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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
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✨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.
