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- Tasks: Oversee data architecture and maintain data standards across business divisions.
- Company: Leading financial markets infrastructure company in the UK.
- Benefits: Dynamic work environment focused on innovation and quality.
- Why this job: Join a team that shapes data solutions and drives impactful change.
- Qualifications: 10+ years in data management, strong SQL skills, and cloud tech experience.
- Other info: Exciting opportunities for professional growth and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial markets infrastructure company in the UK is seeking a Data Architect to oversee data architecture across several business divisions. This role involves maintaining data standards and collaborating with business units to define data solutions.
Candidates should have at least 10 years of experience in data management, strong SQL skills, and experience with cloud technologies. This position offers a dynamic work environment focused on innovation and quality.
Enterprise Data Architect: Tooling & Governance in London employer: London Stock Exchange Group
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect: Tooling & Governance in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for an Enterprise Data Architect role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio that highlights your data architecture projects, especially those involving SQL and cloud technologies. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for data architects and practice your responses. Be ready to discuss how you've maintained data standards and collaborated with business units in your previous roles.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for the right roles. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace Enterprise Data Architect: Tooling & Governance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data management and cloud technologies. We want to see how your skills align with the role of Enterprise Data Architect, so don’t be shy about showcasing your SQL prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how you can contribute to our innovative environment. Let us know what excites you about this role!
Showcase Your Collaboration Skills: Since this role involves working with various business units, highlight any past experiences where you’ve successfully collaborated on data solutions. We love seeing teamwork in action, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your Data Inside Out
Make sure you brush up on your data management principles and SQL skills. Be prepared to discuss specific projects where you've implemented data solutions, especially in a cloud environment. This will show that you not only understand the theory but also have practical experience.
✨Understand the Business Context
Research the company and its various business divisions. Understand how data architecture plays a role in their operations. This knowledge will help you tailor your answers and demonstrate that you're not just a techie but someone who can align data strategies with business goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data governance and tooling. Practice articulating your thought process clearly and logically. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Showcase Your Collaborative Spirit
Since the role involves working with various business units, be ready to discuss your experience in cross-functional teams. Highlight instances where you've successfully collaborated with non-technical stakeholders to define data solutions, showcasing your communication skills and adaptability.
