At a Glance
- Tasks: Lead the design of a cutting-edge cloud data platform using AWS and Snowflake.
- Company: Join a forward-thinking tech company based in Newcastle upon Tyne.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on scalable and governed data solutions.
- Why this job: Make a significant impact by modernising data systems and driving innovation.
- Qualifications: Senior experience in data architecture with expertise in Snowflake and AWS.
The predicted salary is between 80000 - 100000 £ per year.
<p>i O in Newcastle upon Tyne is hiring a Principal Data Architect to lead the design of an enterprise cloud data platform, emphasizing AWS and Snowflake.
You will define data architecture, modernize legacy systems, and ensure scalable, governed data solutions.</p><p>The ideal candidate has senior experience in data architecture, a strong track record with Snowflake, and AWS expertise.
This position offers hybrid working arrangements with a competitive salary.</p> #J-18808-Ljbffr
Principal Data Architect — AWS & Snowflake (Hybrid London) in Newcastle upon Tyne employer: IO
iO is an exceptional employer that fosters a collaborative and innovative work culture, perfect for a Principal Data Architect looking to make a significant impact in the field of data architecture. With hybrid working arrangements and a focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies like AWS and Snowflake in the vibrant city of London. Join us to be part of a forward-thinking team that values your expertise and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Architect — AWS & Snowflake (Hybrid London) in Newcastle upon Tyne
✨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 IO!
✨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 Principal Data Architect — AWS & Snowflake (Hybrid London) at IO.
✨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 IO.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Architect — AWS & Snowflake (Hybrid London) at IO, 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 Principal Data Architect — AWS & Snowflake (Hybrid London) in Newcastle upon Tyne
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 IO, 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 IO. 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 IO
✨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 IO!
✨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.
