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- Tasks: Design cloud-native data architecture on AWS and set standards for Databricks and PySpark.
- Company: Leading tech recruitment company with a focus on innovation and collaboration.
- Benefits: Salary between £90k–£100k, growth opportunities, and a supportive work culture.
- Why this job: Make a significant impact on products while working with talented teams.
- Qualifications: Experience in data-intensive environments and strong knowledge of AWS services.
- Other info: Enjoy high autonomy in a dynamic and collaborative environment.
The predicted salary is between 90000 - 100000 £ per year.
A leading technology recruitment company is seeking a Data Architect to shape a cloud-native data architecture on AWS and establish standards for Databricks and PySpark usage. Candidates should have proven experience in data-intensive environments and solid knowledge of AWS services.
The role offers a salary between £90k–£100k with opportunities for growth and a collaborative culture, where your architecture will significantly impact products. High autonomy and the chance to work with talented teams are also part of this opportunity.
Cloud Data Architect for Life Sciences & Databricks employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Architect for Life Sciences & Databricks
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and life sciences sectors. Attend meetups or webinars related to cloud architecture and Databricks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving AWS and PySpark. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to cloud data architecture. Be ready to discuss your experience with data-intensive environments and how you've tackled challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're serious about joining our collaborative culture.
We think you need these skills to ace Cloud Data Architect for Life Sciences & Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud-native architectures, especially on AWS. We want to see how your skills align with the role, so don’t be shy about showcasing your Databricks and PySpark expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture in the life sciences sector. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Your Projects: If you've worked on any data-intensive projects, make sure to mention them! We’re interested in how you’ve tackled challenges and what impact your work has had. Real-world examples can really set you apart from the crowd.
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 love seeing applications come in through our own channels!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Cloud Inside Out
Make sure you brush up on your AWS knowledge. Familiarise yourself with the specific services relevant to data architecture, like S3, Redshift, and Lambda. Being able to discuss how these services can be integrated into a cloud-native architecture will impress your interviewers.
✨Showcase Your Databricks Skills
Prepare to talk about your experience with Databricks and PySpark. Have examples ready that demonstrate how you've used these tools in previous projects, especially in data-intensive environments. This will show that you can hit the ground running.
✨Emphasise Collaboration
Since the role involves working with talented teams, highlight your collaborative experiences. Share stories where you’ve successfully worked with others to solve complex problems or improve processes. This will align well with the company’s culture.
✨Prepare for Autonomy Questions
Expect questions about how you handle autonomy in your work. Be ready to discuss times when you took initiative or led a project independently. This will demonstrate that you can thrive in an environment that values high autonomy.
