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- Tasks: Design and optimise data architectures using Snowflake and AWS for impactful data solutions.
- Company: Join a forward-thinking tech company in Hemel Hempstead with a hybrid work model.
- Benefits: Competitive contract pay, flexible working, and opportunities to enhance your skills.
- Why this job: Be at the forefront of data innovation and contribute to exciting AI/ML projects.
- Qualifications: Expertise in Snowflake, SQL, and experience with AWS and DBT required.
- Other info: Dynamic role with potential for career advancement in a growing field.
The predicted salary is between 60000 - 80000 £ per year.
Role: Snowflake Data Architect
Location: Hemel Hempstead, UK - Hybrid
Employment: Contract - Inside IR35
Required Technical Skills
- Data Platform: Strong expertise in Snowflake. Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization.
- Cloud Platform: Strong experience with Amazon Web Services, including: S3, IAM, AWS Glue, Lambda, CloudWatch.
- Data Transformation: Strong experience with DBT for enterprise-scale data modelling, testing, and transformation pipelines.
- Programming / Query: Strong expertise in SQL for data transformation and performance optimization. Python (preferred) for automation and data engineering tasks.
- Data Engineering: Enterprise ETL / ELT pipeline architecture. Data warehousing and enterprise data modelling. Dimensional modelling (Star Schema, Snowflake Schema). Data pipeline scalability and reliability design.
- AI / Data Science Exposure: Experience supporting AI/ML data pipelines and data preparation for machine learning models. Understanding of predictive analytics, recommendation engines, and customer behaviour analytics.
Snowflake Data Architect in Hemel Hempstead employer: TestYantra Software Solutions
Contact Detail:
TestYantra Software Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Architect in Hemel Hempstead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Snowflake enthusiasts. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Snowflake projects, data transformations, and any cool stuff you've done with AWS. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with ETL/ELT pipelines. Practice common interview questions related to data architecture and performance tuning.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Snowflake Data Architect in Hemel Hempstead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Snowflake and the specific skills mentioned in the job description. We want to see how your experience aligns with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit. We love seeing enthusiasm, so let your personality come through!
Showcase Your Technical Skills: When detailing your technical skills, be specific about your experience with AWS, DBT, and SQL. We’re keen on seeing examples of how you've used these tools in real-world scenarios, so don’t hold back on the 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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at TestYantra Software Solutions
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge. Be ready to discuss its architecture, performance tuning, and security features. Prepare examples of how you've optimised workloads in the past, as this will show your hands-on experience.
✨AWS is Your Best Friend
Since the role requires strong AWS skills, get familiar with services like S3, IAM, and Lambda. Think of specific projects where you've used these tools and be prepared to explain how they contributed to your data solutions.
✨DBT and SQL Mastery
You’ll need to demonstrate your expertise in DBT and SQL. Practice explaining your data transformation processes and how you've built scalable ETL/ELT pipelines. Having a couple of success stories ready will help you stand out.
✨Show Your Data Engineering Flair
Be ready to discuss your experience with data warehousing and dimensional modelling. Highlight any projects where you’ve designed reliable data pipelines or supported AI/ML initiatives, as this will showcase your versatility in data engineering.