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- Tasks: Lead and design scalable Snowflake data platforms while solving real business problems.
- Company: An international Data & Intelligence partner with a focus on innovation.
- Benefits: Flexible home working, competitive salary, and performance bonuses.
- Why this job: Take ownership of cutting-edge data initiatives and make a significant impact.
- 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 HR Ltd
Contact Detail:
Annapurna HR Ltd 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 field, 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 will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. Be ready to discuss how you've tackled real-world data challenges and how you can influence best practices in a team setting.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Architect. Highlight your hands-on Snowflake experience and any relevant projects you've led. We want to see how your skills align with our needs!
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 Snowflake-led initiatives. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your experience with DBT, Dagster, or Apache Airflow, and any ELT tooling you've used. We love seeing candidates who can translate complex problems into practical solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Annapurna HR Ltd
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake architecture knowledge. Be ready to discuss your hands-on experience and how you've used Snowflake in previous projects. Prepare examples of how you've designed and built scalable data platforms, as this will show your practical understanding.
✨Showcase Your Data Modelling Skills
Be prepared to talk about your experience with different data modelling techniques like dimensional, Data Vault, and 3NF. Bring specific examples of how you've applied these models in real-world scenarios, as this will demonstrate your expertise and problem-solving abilities.
✨Demonstrate Your Technical Leadership
Since the role involves guiding data engineering decisions, think of instances where you've led teams or influenced best practices. Share stories that highlight your ability to mentor others and drive technical direction, as this will showcase your leadership skills.
✨Prepare for Practical Problem-Solving
Expect to face some scenario-based questions that test your ability to translate business problems into data solutions. Practice articulating your thought process and how you would approach these challenges, as it will reflect your pragmatic problem-solving mindset.
