At a Glance
- Tasks: Lead the transformation of data architecture from Oracle to Snowflake.
- Company: Join Hedgehog Lab, a forward-thinking tech company driving innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on AI-assisted engineering.
- Why this job: Shape the future of data platforms and make a significant impact in a large organisation.
- Qualifications: Experience in data architecture and strong understanding of data governance.
The predicted salary is between 70000 - 90000 £ per year.
Hedgehog Lab is seeking a Data Architect to shape the data platform for a large UK organisation undergoing transformation.
You will own the target architecture for moving from Oracle to Snowflake in a regulated, high‑scale environment, ensuring proper data governance and scalable lakehouse/warehouse designs.
You will work across engineering leads and stakeholders to keep the design grounded in what actually ships, while embracing AI-assisted engineering and tooling.
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Snowflake Data Architect: Lakehouse & Migration Lead 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 Snowflake Data Architect: Lakehouse & Migration Lead
✨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 hedgehog lab.
✨Apply Directly through Our Website
When you find a suitable opening like Snowflake Data Architect: Lakehouse & Migration Lead 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 Snowflake Data Architect: Lakehouse & Migration Lead
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.
