At a Glance
- Tasks: Design and implement big data and AI architectures for medical innovation.
- Company: Leading pharmaceutical company at the forefront of medical discovery.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by developing cutting-edge data products.
- Qualifications: Bachelor's degree in computer science and experience in data architecture.
- Other info: Collaborate with scientific teams in a dynamic and innovative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading pharmaceutical company is seeking a Data Architect II in Stevenage, UK, to design and implement big data and AI architectures. The successful candidate will collaborate with scientific teams to develop data products, ensuring data integrity and compliance with standards.
Candidates should have a Bachelor's degree in computer science and significant experience in data architecture, including cloud environments like Azure or GCP. The role offers an opportunity to work at the forefront of medical discovery and innovation.
Data Architect II — GenAI & Data Mesh Specialist in Stevenage employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect II — GenAI & Data Mesh Specialist in Stevenage
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharmaceutical and data architecture fields on LinkedIn. A friendly message can go a long way, and 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 big data and AI architectures. 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 your knowledge of cloud environments like Azure and GCP. Be ready to discuss how you've used these technologies in past roles, as this will demonstrate your expertise and fit for the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team in making a difference in medical discovery.
We think you need these skills to ace Data Architect II — GenAI & Data Mesh Specialist in Stevenage
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture, especially with cloud environments like Azure or GCP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about working in the pharmaceutical industry and how your expertise can contribute to medical discovery. We love seeing genuine enthusiasm!
Showcase Your Collaboration Skills: Since this role involves working closely with scientific teams, highlight any past experiences where you’ve successfully collaborated across disciplines. We value teamwork, so let us know how you can bring people together to achieve great results.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll make sure your application gets into the right hands. Don’t miss out on this opportunity!
How to prepare for a job interview at Gsk
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture principles, especially in big data and AI. Brush up on your knowledge of cloud environments like Azure and GCP, as these will likely come up during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working with scientific teams, be prepared to discuss past experiences where you successfully collaborated across departments. Highlight how you ensured data integrity and compliance in those projects.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills in data architecture. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with non-technical stakeholders.
✨Research the Company’s Innovations
Familiarise yourself with the company’s recent advancements in medical discovery and innovation. This will not only show your genuine interest but also allow you to ask insightful questions that can set you apart from other candidates.