At a Glance
- Tasks: Lead the design and implementation of modern data architectures using Snowflake.
- Company: Join a forward-thinking company transforming its data landscape in Wembley.
- Benefits: Competitive salary up to £95,000 plus benefits and career growth opportunities.
- Other info: Be part of a team focused on building trusted data products and best practices.
- Why this job: Shape the future of data solutions and drive innovation in a dynamic environment.
- Qualifications: 10+ years in Data Engineering with expertise in Snowflake and cloud solutions.
The predicted salary is between 90000 - 95000 £ per year.
Salary: £90,000 - 95,000 per year
Requirements
- 10+ years of experience in Data Engineering, Data Architecture, or a related field.
- At least 4 years of 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.
- 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 of 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.
- Preferred experience with Kestra or similar modern orchestration platforms.
- Preferred knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms.
- Preferred exposure to vector databases, embeddings, retrieval‑augmented generation (RAG), and AI‑ready data architectures.
- Preferred experience in retail, wholesale, supply chain, or large‑scale transactional data environments.
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, 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.
- 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.
Technologies
- AI
- AWS
- Architect
- Azure
- CI/CD
- Cloud
- Data Vault
- Git
- Support
- RBAC
- SQL
- Security
- Snowflake
- dbt
We are a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud‑first architecture. This is a fully on‑site role based in Wembley, London, with a salary of up to £95,000 plus benefits. You will join a team focused on building trusted data products that support analytics, reporting, and emerging AI initiatives, while helping us establish strong engineering standards, governance, and best practices across the organisation.
Snowflake Data Architect - Wembley employer: Sivara GmbH
As a leading player in the data transformation space, we offer an exceptional work environment in Wembley, where innovation meets collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values mentorship and knowledge sharing. With competitive salaries and a focus on modern engineering practices, we empower our team to drive impactful data solutions while enjoying the benefits of a supportive and dynamic workplace.
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 Sivara GmbH!
✨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 Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Snowflake Data Architect - Wembley at Sivara GmbH, 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
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
