At a Glance
- Tasks: Lead the design of a modern data platform using Snowflake and innovative technologies.
- Company: Join a forward-thinking company transforming its data landscape in Wembley, London.
- Benefits: Competitive salary up to £95,000 plus benefits and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of data architecture and drive impactful AI initiatives.
- Qualifications: 10+ years in Data Engineering with 4+ years in Snowflake solutions.
The predicted salary is between 95000 - 95000 £ per year.
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.
Required Experience
- 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.
Desirable Skills
- 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.
Senior Snowflake Data Platform Architect in Wembley employer: Adecco
Join a forward-thinking company in Wembley, London, where you will be at the forefront of a transformative data journey. We offer a collaborative work culture that values innovation and continuous learning, providing ample opportunities for professional growth and development. With competitive salaries and a comprehensive benefits package, we are committed to fostering an environment where your expertise as a Senior Snowflake Data Platform Architect can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Snowflake Data Platform Architect in Wembley
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Senior Snowflake Data Architect role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your Snowflake projects or any data transformation work you've done. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on your hands-on experience with Snowflake and how you've tackled challenges in past projects. Confidence is key, so let your expertise shine!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website for the best chance at landing that dream job. We’re excited to see what you can bring to our team!
We think you need these skills to ace Senior Snowflake Data Platform Architect in Wembley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Snowflake Data Architect role. Highlight your experience with Snowflake and any relevant data transformation projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you’ve successfully delivered enterprise-scale data solutions or optimised data platforms in the past. This helps us see the impact you've made.
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 background makes you a perfect fit. We love seeing genuine enthusiasm for the position and our company!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 around data modelling standards like Data Vault and Star Schema patterns. Prepare examples of how you've designed scalable integration architectures and modern data pipelines.
✨Showcase Your Architectural Leadership
This role requires strong architectural leadership, so be prepared to share instances where you've mentored engineering teams or translated complex concepts into practical guidance. Think about how you've driven best practices in previous roles and be ready to discuss your approach to establishing CI/CD best practices.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your ability to identify inefficiencies and implement optimisation strategies within Snowflake. Have specific examples ready that showcase your experience in performance optimisation and cost management, particularly around warehouse and workload management.
✨Understand the Business Context
Since this position involves collaborating with various stakeholders, it’s crucial to understand the business context of your technical decisions. Be prepared to discuss how your data architectures can support AI initiatives and enhance analytics and reporting capabilities, linking your technical skills to business outcomes.
