At a Glance
- Tasks: Design and implement data architecture using Snowflake for innovative projects.
- 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 solutions for AI and ML applications.
- Qualifications: 4+ years in Data Engineering or Architecture, with expertise in Snowflake.
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. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a dynamic and innovative multinational organisation as a Snowflake Data Architect in Wembley, London, where you will thrive in a collaborative work culture that values creativity and technical excellence. With competitive salaries and opportunities for professional growth, this role offers the chance to work on cutting-edge data architecture projects while enjoying a supportive environment that encourages continuous learning and development. Experience the unique advantage of being part of a company that prioritises employee well-being and fosters a strong sense of community.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect. 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 and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios. Be ready to discuss how you've applied methodologies like Inmon or Kimball in real-world situations. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Snowflake Data Architect. 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 – these are key areas for us.
Showcase Your Soft Skills:While technical skills are crucial, we also value strong interpersonal skills. In your application, give examples of how you've effectively communicated complex data concepts to non-technical stakeholders. This will show us you can bridge the gap between tech and business.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
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 platform knowledge. Be ready to discuss your experience with data architecture methodologies like Inmon and Kimball, and how you've applied them in real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Show Off Your Technical Skills
Prepare to demonstrate your SQL and Python expertise. You might be asked to solve a problem or explain a complex query, so practice coding challenges beforehand. If you have experience with dbt or similar tools, be ready to share specific examples of how you've used them to streamline data transformation.
✨Communicate Like a Pro
Since strong interpersonal skills are key for this role, practice explaining technical concepts in simple terms. Think about how you would describe your past projects to non-technical stakeholders. This will help you stand out as someone who can bridge the gap between tech and business.
✨Understand the Bigger Picture
Familiarise yourself with AWS integration and FinOps for data. Be prepared to discuss how you've designed secure data pipelines and managed costs in previous roles. Showing that you can think strategically about data governance and cost management will impress your interviewers.
