At a Glance
- Tasks: Design and implement data architecture using Snowflake for innovative data solutions.
- Company: Join a well-established multinational organisation in a dynamic environment.
- Benefits: Competitive salary up to £90,000, with opportunities for professional growth.
- Other info: Collaborative culture with a focus on cutting-edge technology and career advancement.
- Why this job: Make an impact by architecting data for AI/ML and driving data governance.
- Qualifications: 4+ years in Data Engineering or Architecture, with 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
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.
- Data Architecture: 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.
- Technical Skills: Expert SQL and Python; hands‑on experience with dbt (data build tool) or equivalent transformation frameworks.
- AWS Integration: Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross‑cloud data connectivity.
- AI Readiness: Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration.
- Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non‑technical stakeholders.
Duties
- Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products.
- Cross‑Cloud Orchestration: 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.
- Snowflake Governance: 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.
- FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high‑cost query anti‑patterns, and implement warehouse scheduling strategies to reduce operational data spend.
- AI Readiness: 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.
- Data Contracts: 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. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a dynamic and innovative multinational organisation in Wembley, where your expertise as a Snowflake Data Architect will be valued and nurtured. With a strong emphasis on employee growth, collaborative work culture, and competitive salary packages, this company offers a unique opportunity to work on cutting-edge data architecture projects while enjoying the vibrant atmosphere of London. Experience a supportive environment that encourages professional development and fosters creativity, making it an excellent place for those seeking meaningful and rewarding employment.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect - London, Wembley. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and architecture space. Attend meetups or webinars related to Snowflake and data architecture to meet potential employers and learn about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, SQL, and Python. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data modelling and governance. Be ready to discuss how you've applied methodologies like Inmon or Kimball in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Snowflake Data Architect - London, Wembley. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Snowflake Data Architect role. Highlight your experience with Snowflake, data architecture methodologies, and any relevant technical skills like SQL and Python. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with our needs. Don't forget to mention your experience with AWS integration and AI readiness – we love that stuff!
Showcase Your Soft Skills:While technical skills are crucial, don’t forget to highlight your interpersonal skills too! We value the ability to communicate complex ideas clearly, especially when working with non-technical stakeholders. Let us know how you’ve done this in the past!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with Snowflake platform design and governance, as well as your understanding of data architecture methodologies like Inmon and Kimball. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Technical Skills
Prepare to demonstrate your SQL and Python expertise during the interview. You might be asked to solve a problem or explain how you've used dbt or similar frameworks in past projects. Having specific examples ready will help you stand out and prove your hands-on experience.
✨Communicate Clearly with Non-Technical Stakeholders
Since strong interpersonal skills are key for this role, practice explaining complex data concepts in simple terms. Think about how you would describe your work to a Business Analyst or someone without a technical background. This will highlight your ability to bridge the gap between technical and non-technical teams.
✨Understand the Bigger Picture
Familiarise yourself with the company's goals and how your role as a Snowflake Data Architect fits into their strategy. Be prepared to discuss how you can contribute to their AI readiness and data governance initiatives. Showing that you understand the business context will make you a more attractive candidate.
