Snowflake Data Architect (Wembley)

Snowflake Data Architect (Wembley)

Wembley Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Adecco

At a Glance

  • Tasks: Shape and evolve a modern enterprise data platform using Snowflake.
  • Company: Join a leading company in data architecture and innovation.
  • Benefits: Competitive salary, permanent benefits, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with a focus on AI and advanced analytics.
  • Why this job: Make a real impact by defining architecture standards and driving best practices.
  • Qualifications: 10+ years in Data Engineering and 4+ years with Snowflake architecture.

The predicted salary is between 60000 - 80000 £ per year.

Location: Wembley (Fully on-site)

Salary: £100,000 + Permanent Benefits

The Opportunity

We are seeking an experienced Snowflake Data Architect to play a key role in shaping and evolving a modern enterprise data platform. This is an opportunity to define architecture standards, drive best practice across data engineering teams, and build scalable solutions that support analytics, automation, and emerging AI capabilities.

The successful candidate will be responsible for establishing data modelling standards, designing robust integration architectures, driving platform optimisation, and ensuring the delivery of high-quality, trusted data products across the business.

Key Responsibilities

  • Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions.
  • Design scalable integration patterns for legacy and modern data sources, ensuring strong governance, reconciliation, auditability, and data quality.
  • Architect cloud-based data pipelines leveraging Snowflake and modern orchestration technologies, ensuring reliability, scalability, and operational excellence.
  • Establish security and access frameworks, including role-based access control, data masking, row-level security, and environment separation best practices.
  • Lead initiatives to optimise platform performance and cost management, identifying efficiencies in data processing, storage, and query execution.
  • Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions.
  • Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ecosystem.
  • Promote a Data-as-Code culture, driving engineering standards, automation, governance, and CI/CD best practices.

About You

You will be a highly experienced Data Architect with a strong track record of modernising enterprise data environments and delivering scalable cloud-based solutions.

Required Experience

  • 10+ years' experience within Data Engineering, Data Architecture, or a related field.
  • At least 4 years of hands-on Snowflake architecture and design experience.
  • Proven expertise in Data Vault 2.0 and dimensional modelling methodologies, including Star Schema design.
  • Strong knowledge of dbt and source control practices using GitHub.
  • Experience integrating enterprise data platforms with AWS services and broader cloud ecosystems.
  • Strong understanding of data governance, security, CI/CD, and engineering best practices.
  • Experience transforming legacy data environments into modern, automated cloud-based architectures.

Desirable

  • Experience with Kestra or other modern orchestration platforms.
  • Exposure to AI, GenAI, vector search, embeddings, or semantic data architectures.
  • Retail, wholesale, supply chain, or large enterprise data platform experience.

Snowflake Data Architect (Wembley) employer: Adecco

Adecco is an excellent employer, offering a supportive work culture that values flexibility and work-life balance, particularly for the Seasonal DBS Cleaner role in Chelmsford. Employees benefit from a competitive pension scheme and various incentives, alongside opportunities for personal growth and development within a dynamic team environment, making it a rewarding place to contribute to the cleanliness of educational settings.

Adecco

Contact Details:

Adecco Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Snowflake Data Architect (Wembley)

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Adecco!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Snowflake Data Architect (Wembley) at Adecco.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Adecco.

Apply Directly through Our Website

When you find a suitable opening like Snowflake Data Architect (Wembley) at Adecco, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Snowflake Data Architect (Wembley)

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Data Governance
Automation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Adecco, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Adecco. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Adecco

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Adecco!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.