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- Tasks: Lead and design scalable Snowflake data platforms while guiding data 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 work on impactful data initiatives.
- Qualifications: Experience in data architecture, Snowflake, and strong SQL skills required.
- Other info: Encouraging environment for 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 employer: Annapurna HR Ltd
Contact Detail:
Annapurna HR Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨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 technical knowledge. Be ready to discuss your experience with DBT, Dagster, and ELT tooling. We want to see how you can translate complex problems into practical solutions!
✨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
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 used it in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Use the job description as a guide and align your experience with the responsibilities and requirements we’ve outlined.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences that make you a great fit for us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
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 with it, as well as how you've used it in past projects. Prepare examples that showcase your ability to design and build scalable data platforms.
✨Showcase Your Data Modelling Skills
Since strong data modelling experience is a must, come prepared to talk about different modelling techniques like dimensional, Data Vault, and 3NF. Have specific examples ready that demonstrate how you've applied these techniques in real-world scenarios.
✨Demonstrate Your Problem-Solving Approach
This role encourages experimentation, so be ready to discuss how you've tackled complex data challenges in the past. Share stories that highlight your ability to translate business problems into practical data solutions while maintaining quality and reliability.
✨Familiarise Yourself with ELT Tools
Since experience with ELT tooling like Fivetran or Airbyte is critical, make sure you can speak confidently about your experience with these tools. Discuss how you've used them to streamline data processes and improve efficiency in your previous roles.
