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, benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technologies.
- Why this job: Make a real impact in data transformation and innovation.
- Qualifications: 10+ years in Data Engineering and 4+ years with Snowflake.
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.
Snowflake Data Architect in London employer: Adecco
Join a forward-thinking company in Wembley, London, where your expertise as a Snowflake Data Architect will be pivotal in driving our data transformation journey. We offer a collaborative work culture that values innovation and continuous learning, alongside competitive salaries and comprehensive benefits. With ample opportunities for professional growth and the chance to work on cutting-edge projects, this is an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events. The more people you know, the better your chances of landing that Snowflake Data Architect role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data architecture projects, especially those involving Snowflake. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of Data Vault, CI/CD practices, and cloud-based solutions. Be ready to discuss how you've tackled challenges in past projects, especially around data transformation and governance.
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to get 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 Snowflake Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Snowflake Data Architect role. Highlight your experience with Snowflake, data modelling standards, and any relevant projects that showcase your skills in data transformation and architecture.
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 aligns with our needs. Don’t forget to mention your experience with cloud-based solutions and CI/CD practices.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include specific examples of your work with Snowflake, dbt, and any orchestration platforms you've used. This will help us understand your hands-on experience and problem-solving abilities.
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. Plus, it shows you’re keen on joining our team at StudySmarter!
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 and integration architectures.
✨Showcase Your Data Transformation Success
Be prepared to share specific examples of enterprise-scale data transformation programmes you've delivered. Highlight your experience modernising legacy systems and how you’ve applied methodologies like Data Vault 2.0 or Kimball dimensional modelling. This will demonstrate your ability to drive significant change within an organisation.
✨Emphasise Collaboration Skills
Since this role involves working closely with Business Analysts and Data Engineers, be ready to discuss how you've collaborated with cross-functional teams in the past. Share instances where you defined data contracts or implemented automated data quality frameworks, showcasing your ability to communicate complex concepts clearly.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your architectural knowledge and best practices. Brush up on topics like CI/CD pipelines, security models, and performance optimisation strategies within Snowflake. Being able to articulate your thought process and decision-making will set you apart from other candidates.
