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- Tasks: Lead data engineering initiatives and design scalable Snowflake solutions.
- Company: A top data and intelligence partner with a focus on innovation.
- Benefits: Flexible remote work, competitive pay, and performance bonuses.
- Why this job: Take ownership of impactful projects in a dynamic data environment.
- Qualifications: Hands-on Snowflake experience and advanced SQL skills required.
- Other info: Join a collaborative team with great career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading data and intelligence partner is seeking a Data Architect to take ownership of a Snowflake-led data platform. This role involves leading multiple data engineering initiatives, designing scalable solutions, and ensuring data quality.
Candidates should have:
- Hands-on Snowflake architecture experience
- Advanced SQL skills
- Familiarity with tools like DBT and Apache Airflow
The position offers flexible home working arrangements and competitive compensation including a performance bonus.
Senior Data Architect – Snowflake Lead (4-Day Remote) employer: Annapurna
Contact Detail:
Annapurna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect – Snowflake Lead (4-Day Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data world, especially those who work with Snowflake or similar platforms. 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 Snowflake projects and any cool data solutions you've designed. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data architecture concepts. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Senior Data Architect – Snowflake Lead (4-Day Remote)
Some tips for your application 🫡
Show Off Your Snowflake Skills: Make sure to highlight your hands-on experience with Snowflake in your application. We want to see how you've used it to design scalable solutions and lead data engineering initiatives.
SQL is Key: Since advanced SQL skills are a must, don’t forget to showcase your SQL prowess. Include specific examples of how you've used SQL to ensure data quality in your previous roles.
Familiarity with Tools: Mention any experience you have with tools like DBT and Apache Airflow. We love seeing candidates who are well-rounded and can bring additional skills to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Annapurna
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake architecture knowledge. Be ready to discuss your hands-on experience and any specific projects you've led using Snowflake. This will show that you’re not just familiar with the platform, but that you can truly take ownership of it.
✨Show Off Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL scenarios beforehand. This will help you feel confident and showcase your technical prowess.
✨Familiarity with Tools is Key
Don’t forget to highlight your experience with DBT and Apache Airflow. Be ready to discuss how you’ve used these tools in past projects and how they fit into your data engineering initiatives. This will show that you’re well-rounded and can lead multiple projects effectively.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
