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 London employer: Adecco
Join a forward-thinking company in Wembley, London, where your expertise as a Senior Snowflake Data Platform Architect will be valued and nurtured. With a strong focus on employee growth, we offer a collaborative work culture that encourages innovation and the sharing of ideas, alongside competitive benefits and a salary of up to £95,000. Be part of a transformative journey as we modernise our data architecture, providing you with unique opportunities to lead impactful projects and shape the future of our enterprise data platform.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Snowflake Data Platform Architect in London
✨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
Create a portfolio showcasing your past projects and achievements in data architecture. Use platforms like GitHub to share your code and demonstrate your expertise in Snowflake and data modelling techniques. This will make you stand out!
✨Ace the Interview
Prepare for technical interviews by brushing up on key concepts like Data Vault, CI/CD practices, and cloud integrations. Practice explaining complex ideas simply, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Apply Through Our Website
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 Senior Snowflake Data Platform Architect in London
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 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 data architecture and how you can contribute to our team. Be sure to mention specific experiences that relate to the key responsibilities in the job description.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills, especially around Snowflake, data modelling standards, and cloud-based solutions. We love seeing concrete examples of how you've implemented these in past roles, so be specific!
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 from us!
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.
