At a Glance
- Tasks: Lead the technical direction of data architecture and cloud integration for Digital Identity & Fraud Engineering.
- Company: Join the London Stock Exchange Group, a leader in innovation and integrity.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic environment focused on sustainable growth and innovation.
- Why this job: Shape the future of data governance and make a real impact in a global team.
- Qualifications: Experience in AWS/Azure and strong leadership skills in data strategy.
The predicted salary is between 70000 - 90000 £ per year.
London Stock Exchange Group (LSEG) is seeking a Senior Data Architect to lead the technical direction of Digital Identity & Fraud Engineering, ensuring scalable, secure data architectures and cloud integration across AWS/Azure.
You will mentor teams, shape data governance, and collaborate with enterprise teams to align architecture with product strategies, data quality, and operational efficiency.
Join a globally distributed group dedicated to innovation, integrity, and sustainable growth.
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Senior Cloud Data Architect — AWS/Azure & Data Strategy employer: LSEG
LSEG is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and technology. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and collaboration on cutting-edge projects in a hybrid work environment. Join us in London to be part of a forward-thinking team that values creativity and technical expertise, making a meaningful impact in the world of finance and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Data Architect — AWS/Azure & Data Strategy
✨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 LSEG.
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We think you need these skills to ace Senior Cloud Data Architect — AWS/Azure & Data Strategy
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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Craft a Tailored Cover Letter:For a full-time role at LSEG, 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 LSEG. 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 LSEG
✨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.
