Data Platform Architect β€” Databricks & Cloud Governance in London

Data Platform Architect β€” Databricks & Cloud Governance in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Burberry

At a Glance

  • Tasks: Lead the design and governance of Burberry's enterprise data platform.
  • Company: Join Burberry, a luxury brand known for innovation and excellence.
  • Benefits: Enjoy competitive pay, flexible working options, and career development opportunities.
  • Other info: Be part of a dynamic team driving impactful data solutions.
  • Why this job: Shape the future of data architecture in a prestigious global brand.
  • Qualifications: Experience in data architecture and strong leadership skills required.

The predicted salary is between 70000 - 90000 Β£ per year.

Burberry is seeking a Data Platform Architect to own the enterprise data platform architecture, ensuring scalability, cost efficiency and security. This role leads architectural standards, governance and design decisions across cross-functional squads, guiding Data Platform Engineers and Data Engineers. The candidate will drive the platform roadmap, establish non-functional requirements, and collaborate with security and governance teams to ensure compliant, resilient data capabilities.

Data Platform Architect β€” Databricks & Cloud Governance in London employer: Burberry

At Burberry, we pride ourselves on being an exceptional employer that fosters creativity and inclusivity within our vibrant London office. Our commitment to employee growth is evident through tailored development opportunities and a supportive work culture that champions diversity and innovation. Join us to be part of a purposeful brand that not only drives industry change but also prioritises the well-being and success of our people.

Burberry

Contact Details:

Burberry Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Platform Architect β€” Databricks & Cloud Governance 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 Burberry!

✨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 Platform Architect β€” Databricks & Cloud Governance at Burberry.

✨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 Burberry.

✨Apply Directly through Our Website

When you find a suitable opening like Data Platform Architect β€” Databricks & Cloud Governance at Burberry, 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 Platform Architect β€” Databricks & Cloud Governance in London

Problem-Solving Skills
Communication Skills
Data Engineering
SQL
Python
Data Governance
Data Pipeline Development

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 Burberry, 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 Burberry. 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 Burberry

✨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 Burberry!

✨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.