At a Glance
- Tasks: Lead data architecture for a high-volume online marketplace and optimise data models.
- Company: Fast-paced scale-up in the tech industry with a focus on innovation.
- Benefits: Flexible working options, competitive pay, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on research-led projects and large-scale transformations.
- Why this job: Shape the future of data strategy and work with cutting-edge technologies.
- Qualifications: Senior data architecture experience and deep knowledge of GCP and AWS tools.
The predicted salary is between 72000 - 88000 £ per year.
Location and basis: Contract, outside IR35. Starting as soon as possible. Fully flexible working: home, office, or a mix, your call. We just ask that you're based within 50 miles of Edinburgh, Newcastle, Leeds, Manchester or London. Applications from outside these areas won't be considered.
The engagement: You'll own the data architecture for a high-volume online marketplace, part-way through a major, multi-year technology transformation. The current stack runs on Google Cloud Platform: BigQuery for storage and consumption, DBT for transformations, and Data Stream. Reporting is on Looker today, and moving the business toward a self-service reporting model is a core goal. There's real architecture work in front of you. The business doesn't yet have a defined data strategy, and BigQuery consumption costs are climbing, so optimising data models and building in cost management is a live priority, not a future one. The wider platform is migrating to AWS, and the data estate moves with it. The near-term focus is the current GCP stack, optimising models and cutting BigQuery cost, but you'll be architecting toward the AWS target state from the start rather than just maintaining what exists. You'll also shape structural change. The data team currently sits under Finance and is fragmented, with a plan to bring it under technical leadership, and data scientists are being introduced on the seller side to support seller attraction and analytics. A larger data transformation is expected further down the line.
The platform: This is a genuinely large-scale marketplace. Very few platforms handle a product catalogue or transaction volume at this level. The roadmap includes agentic AI workflows built into the platform, retail media integrated directly into the marketplace, and infrastructure work targeting cost and performance at high volume. A lot of this is being attempted at volumes that have rarely been tested in a marketplace before, so the work leans research-led rather than routine.
Who this suits: This is a fast-paced scale-up environment on a complex platform. You'll do well here if you think strategically rather than transactionally, and you're comfortable defining direction where none exists yet.
What we need:
- The essentials:
- Senior data architecture experience on large-scale platforms
- Deep hands-on knowledge of GCP data tooling: BigQuery, DBT, and pipeline tooling such as Data Stream
- Comfortable across GCP and AWS, able to optimise the current estate while architecting toward the AWS target state
- You can design and optimise data models with consumption cost in mind
- Experience building toward self-service reporting and analytics
- You can set data strategy, not just implement against one
- Comfortable working in English, written and spoken
- Nice to have:
- Experience moving reporting off Looker or running a BI tooling transition
- Experience migrating a data platform from GCP to AWS, or between major cloud providers
- Exposure to embedding data science within product or commercial teams
- Experience planning a larger data transformation programme
Ready to apply? Submit your application below.
Solution Architect, Data (GCP / AWS) in Leeds employer: hedgehog lab
As an AI Transformation Architect, you'll join a forward-thinking company that prioritises innovation and employee autonomy. With a flexible hybrid working environment across major UK cities, you will have the opportunity to shape the future of AI development while enjoying generous benefits like 28 days of annual leave, wellbeing support, and dedicated Impact Days for personal growth. This is a place where your contributions are valued, and you can truly make a difference in both client projects and internal practices.
StudySmarter Expert Advice🤫
We think this is how you could land Solution Architect, Data (GCP / AWS) in Leeds
✨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 hedgehog lab!
✨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 Solution Architect, Data (GCP / AWS) at hedgehog lab.
✨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 hedgehog lab.
✨Apply Directly through Our Website
When you find a suitable opening like Solution Architect, Data (GCP / AWS) at hedgehog lab, 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 Solution Architect, Data (GCP / AWS) in Leeds
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 hedgehog lab, 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 hedgehog lab. 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 hedgehog lab
✨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 hedgehog lab!
✨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.
