At a Glance
- Tasks: Design and implement data architectures using Snowflake for innovative AI/ML projects.
- Company: Join a well-established multinational organisation in Wembley, London.
- Benefits: Competitive salary up to £90,000, with opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology and career development.
- Why this job: Make a real impact by shaping data solutions that drive AI advancements.
- Qualifications: 4+ years in Data Engineering or Architecture, expertise in Snowflake and SQL.
The predicted salary is between 90000 - 90000 £ per year.
Salary: Paying up to £90,000 per annum
Location: Wembley London - 5 days on-site
Overview
Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team.
Skills
- Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance.
- Mastery of Data Warehouse design methodologies – Inmon, Kimball, and Data Vault 2.0 – with the judgement to apply the right pattern for the right use case.
- Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks.
- Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity.
- Practical experience architecting data infrastructure for AI/ML consumption – vector databases, embedding stores, and RAG pipeline integration.
- Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders.
Duties
- Defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products.
- Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake – ensuring data integrity, lineage tracking, and end-to-end auditability.
- Own the full security model for the Snowflake platform – RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments.
- Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend.
- Architect data stores purpose-built for LLM consumption – including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer.
- Partner with Business Analysts to formally define and document 'Data Contracts' between systems – creating clear, agreed interfaces between producers and consumers across the data platform.
Snowflake Data Architect - London, Wembley employer: Broughton Group
Join a dynamic and innovative multinational organisation in Wembley as a Snowflake Data Architect, where you will be part of a collaborative work culture that values creativity and technical excellence. With a competitive salary of up to £90,000 per annum, the company offers robust employee growth opportunities, including professional development and training in cutting-edge technologies. Experience the unique advantage of working in a vibrant location with a diverse team dedicated to pushing the boundaries of data architecture and AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect - London, Wembley
✨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 Broughton Group!
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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 Snowflake Data Architect - London, Wembley at Broughton Group.
✨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 Broughton Group.
✨Apply Directly through Our Website
When you find a suitable opening like Snowflake Data Architect - London, Wembley at Broughton Group, 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 - London, Wembley
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 Broughton Group, 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 Broughton Group. 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 Broughton Group
✨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 Broughton Group!
✨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.
