Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver scalable AWS data platforms in a dynamic BFSI environment.
- Company: Leading tech firm offering innovative solutions in data architecture.
- Benefits: Competitive day rates, hybrid work model, and potential for contract extension.
- Other info: Exciting opportunity for growth in a fast-paced, collaborative environment.
- Why this job: Take ownership of data models and pipelines while making a real impact.
- Qualifications: Strong AWS experience, Snowflake expertise, and a passion for hands-on architecture.
AWS Data Architect | Contract | London / Edinburgh | Hybrid (2 days onsite) 6 month contract with strong likelihood of extension. Competitive day rates on offer.
The Role
You’ll design and deliver scalable AWS-based data platforms within a complex BFSI environment. This is hands‑on architecture, not ivory tower. Expect to own data models, pipelines, and governance frameworks end‑to‑end.
Key Responsibilities
- Build and optimise 3-tier Medallion data architecture
- Design Snowflake semantic layers for business‑ready analytics
- Translate business needs into robust data products
- Implement AWS data services across S3, Glue, EMR, Athena, Lambda
- Enable governed data sharing via DataZone
- Drive performance, scalability, and data quality standards
What You Need
- Strong AWS data stack experience including Airflow and SageMaker
- Proven Snowflake semantic modelling expertise
- Experience delivering BI‑ready datasets and dashboards
- Solid grasp of data governance and marketplace concepts
- Background in financial services is useful but not essential
This is a proper architecture role. If you’re just diagramming, it’s not for you.
AWS Data Architect employer: Gazelle Global
Contact Detail:
Gazelle Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or in financial services. 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 previous projects, especially those involving AWS data architecture and Snowflake. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your hands-on experience with data models and governance frameworks, as well as how you’ve tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AWS Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS data services and Snowflake. We want to see how your skills match the role, so don’t be shy about showcasing your hands-on architecture experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this AWS Data Architect role. Share specific examples of your past projects that align with the responsibilities listed in the job description.
Showcase Your Technical Skills: When filling out your application, make sure to mention your expertise in building data models and pipelines. We’re looking for someone who can hit the ground running, so let us know how you’ve done this in previous roles!
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 don’t miss any important updates from our team. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Gazelle Global
✨Know Your AWS Inside Out
Make sure you’re well-versed in the AWS data stack, especially services like S3, Glue, EMR, and Lambda. Brush up on your hands-on experience with these tools, as you'll likely be asked to discuss specific projects where you've implemented them.
✨Showcase Your Snowflake Skills
Prepare to talk about your experience with Snowflake semantic modelling. Have examples ready that demonstrate how you've designed semantic layers for business-ready analytics, and be ready to explain the impact of your work on data accessibility and usability.
✨Understand Data Governance
Since this role involves data governance frameworks, make sure you can articulate your understanding of data quality standards and marketplace concepts. Think of scenarios where you’ve ensured data integrity and compliance in previous roles.
✨Be Ready for Hands-On Questions
This isn’t a role for diagramming alone; expect practical questions that require you to think on your feet. Prepare to discuss how you would approach building and optimising a 3-tier Medallion data architecture, and be ready to dive into the details of your thought process.