At a Glance
- Tasks: Shape and deliver a modern enterprise data platform using Snowflake.
- Company: Join a forward-thinking company transforming its data landscape.
- Benefits: Competitive salary up to £95,000 plus benefits.
- Other info: Opportunity for career growth in a dynamic, collaborative environment.
- Why this job: Make a real impact on data transformation and AI initiatives.
- Qualifications: 10+ years in Data Engineering with 4+ years in Snowflake.
We are seeking an experienced Snowflake Data Architect to play a pivotal role in shaping and delivering a modern enterprise data platform. This is an opportunity to join a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud-first architecture.
You will be responsible for defining architectural standards, driving best practices, and enabling engineering teams to deliver high-quality, trusted data products that support analytics, reporting, and emerging AI initiatives.
Key Responsibilities- Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks.
- Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities.
- Architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency, and effective error handling.
- Establish and govern security models across the data platform, including role-based access control (RBAC), dynamic masking, row-level security, and environment segregation.
- Drive platform performance optimisation and cost management within Snowflake, identifying inefficiencies and implementing scalable warehouse, clustering, and workload management strategies.
- Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures.
- Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks.
- Champion Data-as-Code principles, helping establish CI/CD best practices and engineering standards across the organisation.
- Provide architectural leadership, mentoring engineering teams and translating complex technical concepts into practical guidance.
- 10+ years' experience in Data Engineering, Data Architecture, or a related field.
- Minimum 4 years' hands-on experience designing and implementing solutions within Snowflake.
- Demonstrated success delivering enterprise-scale data transformation programmes and modernising legacy data environments.
- Deep expertise in Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for varying business requirements.
- Advanced knowledge of dbt and Git-based development practices.
- Strong experience designing cloud-based data solutions, including integrations across AWS and Azure environments.
- Proven track record implementing CI/CD pipelines and promoting software engineering best practices within data teams.
- Experience defining data governance, security frameworks, and quality standards across enterprise platforms.
- Experience with Kestra or similar modern orchestration platforms.
- Knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms.
- Exposure to vector databases, embeddings, retrieval-augmented generation (RAG), and AI-ready data architectures.
- Retail, wholesale, supply chain, or large-scale transactional data experience.
Snowflake Data Architect in Wembley employer: Adecco
Join a forward-thinking company in Wembley, London, where as a Snowflake Data Architect, you will be at the forefront of a transformative data journey. With a strong emphasis on employee growth, collaborative work culture, and innovative projects, this role offers competitive salary and benefits, alongside opportunities to shape cutting-edge data solutions that drive business success. Experience a supportive environment that values your expertise and encourages continuous learning in a fully on-site setting.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect in Wembley
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events related to data architecture. You never know who might have a lead on that Snowflake Data Architect role you’re after.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with Snowflake and any successful projects you've led. Share specific examples of how you’ve transformed data environments or optimised performance – it’ll make you stand out!
✨Tailor Your Approach
Before any interview, do your homework on the company’s data strategy and challenges. Tailor your responses to show how your expertise in Data Vault, CI/CD, and cloud solutions can directly benefit their goals. It shows you’re not just another candidate; you’re the right fit!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through StudySmarter gives you a better chance to showcase your skills and connect with companies looking for someone just like you. Let’s land that dream job together!
We think you need these skills to ace Snowflake Data Architect in Wembley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Snowflake Data Architect role. Highlight your experience with data modelling standards and cloud-based solutions, as these are key for us. Use specific examples that showcase your skills in transforming legacy systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data architecture and how you can contribute to our data transformation journey. Mention your hands-on experience with Snowflake and any relevant projects that demonstrate your expertise.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills in your application. We’re looking for someone with deep expertise in Data Vault 2.0 and CI/CD practices. Make sure to mention any tools or technologies you’ve used that align with our needs.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Adecco
✨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, especially in designing and implementing solutions. Prepare examples of how you've tackled challenges using Snowflake's features, like data modelling standards or integration architectures.
✨Showcase Your Data Transformation Success
Be prepared to share specific examples of enterprise-scale data transformation programmes you've led or contributed to. Highlight your experience modernising legacy systems and how you’ve applied methodologies like Data Vault 2.0 or Kimball dimensional modelling to achieve success.
✨Demonstrate Your Architectural Leadership
Since this role involves mentoring engineering teams, think about times when you've provided architectural guidance. Discuss how you've translated complex technical concepts into practical advice for your team, and be ready to explain your approach to establishing CI/CD best practices.
✨Prepare for Technical Questions
Expect some deep-dive technical questions related to data governance, security frameworks, and cloud-based solutions. Brush up on your knowledge of role-based access control, dynamic masking, and how to optimise performance and cost management within Snowflake. Being well-prepared will show your expertise and confidence.
