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- Tasks: Lead and design scalable Snowflake data platforms while guiding engineering decisions.
- Company: International Data & Intelligence partner with a focus on innovation.
- Benefits: Flexible home working, competitive salary, and performance bonuses.
- Why this job: Own a modern data platform and influence major data initiatives.
- Qualifications: Experience in data architecture, Snowflake, and strong SQL skills required.
- Other info: Join a dynamic team that values experimentation and problem-solving.
The predicted salary is between 48000 - 72000 £ per year.
An international Data & Intelligence partner is searching for an additional hands-on data architect to take ownership of a Snowflake-led data platform during a period of major investment. Several large data initiatives are starting, with a clear shift toward operational and product-aligned data use cases which justifies this strategic hire.
Responsibilities:
- Lead and guide data engineering and architectural decisions across multiple initiatives
- Design, build, and evolve scalable Snowflake-based data platforms and models
- Translate business problems into practical, working data solutions
- Stay hands-on while providing technical direction
- Enable experimentation while maintaining data quality and reliability
- Influence standards and best practices across distributed data teams
Requirements:
- Proven experience as a Lead Data Engineer, Data Architect, or similar senior role
- Hands-on Snowflake architecture experience (critical)
- Experience with DBT, Dagster and/or Apache Airflow (critical)
- 4-5+ years working in production data environments
- Strong data modelling experience (dimensional, Data Vault, 3NF)
- Advanced SQL and solid database design fundamentals
- ELT tooling experience (Fivetran, Airbyte, or similar)
- Python for pipelines, automation, and platform support
- Cloud expertise within Azure
Opportunity:
- Take technical ownership of a modern Snowflake data platform
- Work on large, business-critical data programmes from early design onward
- Operate in an environment that encourages experimentation and pragmatic problem-solving
- Flexible home working (4 days per week home office)
- Competitive fixed base and performance bonus
Data Architect in London employer: Annapurna
Contact Detail:
Annapurna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data world, especially those who work with Snowflake or similar platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on experience with Snowflake and any relevant projects. This is your chance to demonstrate how you can translate business problems into practical data solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with DBT, Dagster, and Apache Airflow. We want to see how you can influence standards and best practices in a team setting.
✨Tip Number 4
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 Data Architect in London
Some tips for your application 🫡
Show Off Your Snowflake Skills: Make sure to highlight your hands-on experience with Snowflake in your application. We want to see how you've designed and built data platforms before, so don’t hold back on the details!
Talk About Your Data Modelling Experience: We’re keen on your data modelling expertise, whether it’s dimensional, Data Vault, or 3NF. Share specific examples of how you’ve tackled data challenges in the past to give us a clear picture of your capabilities.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your experience and skills shine through without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Annapurna
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake architecture knowledge. Be ready to discuss how you've designed and built scalable data platforms in the past. Prepare specific examples of challenges you've faced and how you overcame them using Snowflake.
✨Showcase Your Data Modelling Skills
Since strong data modelling experience is a must, come prepared to talk about your experience with dimensional models, Data Vault, and 3NF. Bring along examples of how you've translated business problems into effective data solutions, as this will demonstrate your practical understanding.
✨Familiarise Yourself with ELT Tools
Get comfortable discussing ELT tooling like Fivetran or Airbyte. Be ready to explain how you've used these tools in production environments and how they fit into your overall data strategy. This shows that you're not just hands-on but also strategic in your approach.
✨Prepare for Technical Questions
Expect some technical questions around SQL and Python. Brush up on your advanced SQL skills and be ready to solve problems on the spot. Practising coding challenges or SQL queries can help you feel more confident during the interview.
