At a Glance
- Tasks: Design and govern enterprise data architecture for leading pizza brands.
- Company: Join a dynamic team at Pizza Express and Houston Hot Chicken.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Shape the future of data and influence AI-driven insights.
- Qualifications: Experience with Snowflake and advanced SQL skills required.
The predicted salary is between 72000 - 88000 £ per year.
Every pizza we serve, booking we take and loyalty reward we issue creates data. We want to turn it into insight people can trust, and lay the groundwork for AI.
As our Data Architect, you'll design how data works across the Pizza Express, Milano and Houston Hot Chickenestate.
You'll set the models, standards and patterns our engineering and analytics teams build on.
It's a group-wide role with real influence over the platform's direction.
What you'll do
- Own our enterprise data architecture and keep it aligned with business priorities.
- Set standards and reusable patterns across our Snowflake platform.
- Design dimensional models and reusable data products with consistent definitions.
- Own our layered architecture, from raw data through to business-ready data.
- Review designs and steer delivery teams and partners towards scalable, cost-effective solutions.
- Shape the platform roadmap, including dbt, orchestration tools and event-driven integration.
- Improve performance, keep platform costs down and reduce technical debt.
- Mentor colleagues and partner on work like Customer 360 and AI enablement.
- What you'll bring
- Significant experience designing and governing enterprise data architecture.
- Advanced knowledge of Snowflake or a similar cloud data platform.
- Deep expertise in dimensional modelling (Kimball) and layered or medallion architecture.
- Strong ELT/ETL knowledge, including batch, Change Data Capture (CDC), API and event-driven integration.
- Advanced SQL and solid engineering practice: Git, CI/CD and automated testing.
- The ability to explain complex decisions simply and to lead through influence rather than line management.
Data Architect employer: PizzaExpress
As a Deputy General Manager at PizzaExpress, you will thrive in a vibrant and inclusive work culture that prioritises your growth and well-being. With benefits like a bonus scheme, free food on shift, and extensive development opportunities, you'll be part of a team that values excellence in service and fosters a sense of belonging. Join us in delivering memorable experiences while enjoying the perks of working for a respected international brand since 1965.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨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 PizzaExpress!
✨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 Architect at PizzaExpress.
✨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 PizzaExpress.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at PizzaExpress, 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 Architect
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 PizzaExpress, 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 PizzaExpress. 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 PizzaExpress
✨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 PizzaExpress!
✨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.
