At a Glance
- Tasks: Lead the design and optimisation of enterprise data architecture using Snowflake.
- Company: Join a forward-thinking company focused on advanced analytics and AI.
- Benefits: 100% remote work, competitive pay, and potential for contract extension.
- Other info: Fast-paced interview process and excellent career growth opportunities.
- Why this job: Make a real impact by shaping data strategies for innovative projects.
- Qualifications: 8+ years in Data Architecture with strong Snowflake and Azure experience.
The predicted salary is between 60000 - 80000 € per year.
Contract Type: Outside IR35
Length: 6-month contract with strong extension potential
Start Date: ASAP
Project Language: English
Interview Process: Fast-moving 2-stage process
Location: 100% Remote from anywhere across the UK, with a required 8-hour working overlap with US EST hours.
Extensive Snowflake and Azure experience is mandatory for this role.
Montash are looking for a Lead / Senior Data Architect to own and govern the core Snowflake data model, support advanced analytics and enable scalable AI / agent-queryable use cases across the business.
This role requires strong hands-on experience with Snowflake, Azure and knowledge graph / graph schema design.
Role FocusYou will lead the assessment, design and optimisation of enterprise data architecture, with responsibility for scalable Snowflake modelling, governed data access, schema contracts, lineage and AI-ready data structures.
Key Responsibilities- Own the unified Snowflake data model supporting multiple business workstreams
- Design and govern knowledge graph structures across dealer, vehicle, customer, inventory, pricing
- Define and maintain schema contracts between engineering teams and stakeholders
- Establish governed data access layers, including RBAC and access controls for AI / agent queries
- Ensure data products are structured for LLM tool use, RAG, semantic retrieval and agent-queryable use cases
- Arbitrate naming conventions, data types and enumerations across workstreams
- Produce and maintain master data lineage documentation
- 8+ years in Data Architecture or senior-level Data Engineering
- Advanced Snowflake data modelling, account architecture and role-based access control
- Strong Azure data platform experience, including ADF, Synapse, Purview or equivalent
- Experience designing knowledge graphs, graph schemas, entity relationships and query patterns
- Strong understanding of AI-ready data products, RAG and semantic retrieval
Please reply with your CV and complete the qualification questions below. We will then reach out to discuss next steps.
Snowflake Data Architect in Warrington employer: Montash
At Montash, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our remote work culture allows you to thrive from anywhere in the UK while working closely with a dynamic team dedicated to advancing data architecture. With a strong focus on employee growth, we offer opportunities for professional development and the chance to lead impactful projects in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect in Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture field, especially those who have experience with Snowflake and Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for those interviews! Since the process is fast-moving, brush up on your Snowflake and Azure knowledge. Be ready to discuss your hands-on experience and how you've tackled challenges in previous roles. We want you to shine!
✨Tip Number 3
Showcase your skills! Create a portfolio or case studies that highlight your work with Snowflake data models and knowledge graphs. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Snowflake Data Architect in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your extensive Snowflake and Azure experience. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Experience:In your application, emphasise your hands-on experience with data architecture and modelling. We’re looking for someone who can own the Snowflake data model, so let us know how you've done this in the past!
Be Clear and Concise:When filling out the qualification questions, keep your answers clear and to the point. We appreciate straightforwardness, and it helps us get a quick understanding of your fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Montash
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your hands-on experience with Snowflake data modelling and account architecture. Prepare examples of how you've designed and optimised data models in previous roles.
✨Show Off Your Azure Skills
Since strong Azure experience is a must, be prepared to talk about your work with Azure Data Factory, Synapse, and Purview. Think of specific projects where you’ve used these tools and how they contributed to the success of your data architecture.
✨Demonstrate Your Knowledge Graph Expertise
This role requires knowledge graph design, so come armed with examples of how you've created and governed knowledge graphs in the past. Discuss the challenges you faced and how you overcame them to ensure effective data access and schema contracts.
✨Prepare for Fast-Paced Questions
Given the fast-moving interview process, practice answering questions concisely and confidently. Focus on your ability to lead assessments and design scalable data architectures, as well as your understanding of AI-ready data products and semantic retrieval.
