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- Tasks: Design and implement a scalable cloud data warehouse and build automated ETL/ELT pipelines.
- Company: Join a leading fintech company in the UK with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and drive impactful data-driven decisions.
- Qualifications: 4+ years in data engineering, expertise in Snowflake or BigQuery, and strong SQL skills.
- Other info: Dynamic team environment with a commitment to data governance and excellence.
The predicted salary is between 48000 - 72000 £ per year.
A fintech company in the United Kingdom is seeking a Senior Data Architect to design and implement a scalable, cloud-based data warehouse. This role involves building automated ETL/ELT pipelines and establishing data governance standards.
The ideal candidate should have at least 4 years of experience in data engineering, expertise in data warehouse technologies such as Snowflake or BigQuery, and proficiency in SQL. Strong knowledge of cloud platforms is also required, alongside the ability to contribute to data-driven decision-making.
Senior Data Architect: Cloud Data Warehouse & BI Enablement employer: Featmate
Contact Detail:
Featmate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect: Cloud Data Warehouse & BI Enablement
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to a hidden job opening that’s not even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving cloud data warehouses or ETL/ELT pipelines. 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 SQL and cloud platform knowledge. Be ready to discuss how you've implemented data governance standards in past roles. We want to see you shine!
✨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 Senior Data Architect: Cloud Data Warehouse & BI Enablement
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and cloud platforms. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Snowflake, BigQuery, and SQL!
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 your past experiences have prepared you for this role. Let us know how you can contribute to our data-driven decision-making.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building ETL/ELT pipelines or implementing data governance standards, we love to see real-world examples of your work.
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 from us during the process!
How to prepare for a job interview at Featmate
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific data warehouse technologies mentioned in the job description, like Snowflake or BigQuery. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your ETL/ELT Experience
Prepare examples of automated ETL/ELT pipelines you've built. Be ready to explain the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand Data Governance
Familiarise yourself with data governance standards and be prepared to discuss how you’ve implemented these in previous roles. Companies want to see that you can ensure data quality and compliance in a cloud environment.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your ability to contribute to data-driven decision-making. Think about how you would approach real-world problems and articulate your thought process clearly.