At a Glance
- 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: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a team that drives data-driven decision-making and governance.
- Why this job: Shape the future of data architecture in a dynamic fintech environment.
- Qualifications: 4+ years in data engineering, expertise in Snowflake or BigQuery, and strong SQL skills.
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 in London employer: Featmate
Join a leading fintech company in the UK that prioritises innovation and employee development. With a collaborative work culture, we offer extensive growth opportunities, competitive benefits, and a commitment to fostering a diverse and inclusive environment. As a Senior Data Architect, you will play a pivotal role in shaping our data strategy while enjoying the advantages of working in a dynamic and forward-thinking industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect: Cloud Data Warehouse & BI Enablement in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with cloud data warehouses. 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 past projects, especially those involving ETL/ELT pipelines and data governance. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and cloud platform knowledge. We recommend practising common interview questions related to data architecture and being ready to discuss your experience with tools like Snowflake or BigQuery.
✨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 in London
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 of a Senior Data Architect, 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. We love seeing candidates who can connect their journey to our mission.
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 want to hear about your hands-on experience and the impact you've made.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Featmate
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data warehouse technologies like Snowflake and BigQuery. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL/ELT Skills
Prepare to talk about your experience with building automated ETL/ELT pipelines. Have specific examples ready that demonstrate your ability to streamline data processes and improve efficiency.
✨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.
✨Cloud Knowledge is Key
Since this role requires strong knowledge of cloud platforms, make sure you can articulate your experience with them. Discuss how you've leveraged cloud solutions to enhance data architecture and support data-driven decision-making.
