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 interview process and opportunity to work across multiple business workstreams.
- Why this job: Make a real impact by shaping scalable data solutions in a dynamic environment.
- 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 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 maintaining a strong connection with our global team, ensuring flexibility and work-life balance. With a focus on professional growth, we offer opportunities to lead cutting-edge projects in data architecture, empowering you to shape the future of analytics and AI within a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect
✨Tip Number 1
Get your networking game on! Connect with professionals in the data architecture field, especially those who have experience with Snowflake and Azure. Join relevant online communities or forums where you can share insights and learn from others.
✨Tip Number 2
Prepare for those interviews like a pro! Research common interview questions for Data Architects and practice your responses. Make sure to highlight your hands-on experience with Snowflake and Azure, as well as any projects that showcase your skills in designing knowledge graphs.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that demonstrate your work with Snowflake data models and AI-ready data structures. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly helps us keep track of your application and get back to you faster.
We think you need these skills to ace Snowflake Data Architect
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 answering the qualification questions, keep your responses clear and to the point. We appreciate straightforward answers that get right to the heart of your experience and skills.
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 leveraged these tools and how they contributed to the success of your data architecture.
✨Understand Knowledge Graphs
Familiarise yourself with knowledge graphs and graph schema design. Be ready to explain how you’ve implemented these structures in past projects and how they can support advanced analytics and AI use cases.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data architecture. Think through potential challenges you might face in this role, such as establishing governed data access layers or maintaining master data lineage documentation, and how you would tackle them.
