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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.
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 in Edinburgh employer: Gazelle Global
Contact Detail:
Gazelle Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or in data architecture. A friendly chat can lead to opportunities 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 platforms. This will give potential employers a clear idea 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 tackle challenges in a BFSI environment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AWS Data Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS data stack experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your Snowflake expertise and 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 how you've designed scalable data platforms and tackled complex challenges in the past.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've translated business needs into robust data products. We love seeing how you’ve implemented AWS data services and driven performance improvements, so make sure to include those details!
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 out on any important updates. Plus, we can’t wait to see what you bring to the table!
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 experience with Airflow and SageMaker too, as these will likely come up during the interview.
✨Showcase Your Architecture Skills
Prepare to discuss your hands-on experience with data architecture. Be ready to explain how you've designed and delivered scalable data platforms, focusing on real-world examples that highlight your ability to own data models and pipelines.
✨Demonstrate Business Acumen
Since this role involves translating business needs into data products, think of specific instances where you’ve successfully aligned technical solutions with business objectives. This will show that you understand the bigger picture beyond just the tech.
✨Prepare for Governance Discussions
Data governance is key in this role, so be prepared to discuss your understanding of governance frameworks and how you’ve implemented them in past projects. Highlight any experience you have with data quality standards and marketplace concepts.