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- Tasks: Design innovative data architecture and collaborate with scientific teams on AI-driven projects.
- Company: Leading global biopharmaceutical company in Greater London.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on medical discoveries through data-driven insights.
- Qualifications: 5+ years in data architecture and experience with cloud platforms like Azure or GCP.
- Other info: Join a dynamic team in a regulated R&D environment with exciting challenges.
The predicted salary is between 43200 - 72000 £ per year.
A leading global biopharmaceutical company in Greater London is seeking a Data Architect II to design cutting-edge data architecture. You will work closely with scientific teams to develop data products that leverage AI and ensure compliance in a regulated R&D environment.
The ideal candidate will have 5+ years of experience in data architecture and cloud platforms like Azure or GCP. Strong analytical skills and experience with Big Data solutions are crucial. This role offers the chance to impact medical discoveries through data-driven insights.
Data Architect II: GenAI & Data Mesh Champion employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect II: GenAI & Data Mesh Champion
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharmaceutical field on LinkedIn. Join relevant groups and engage in discussions about data architecture and AI. This can help us get our foot in the door and learn about hidden job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with data architecture, especially with cloud platforms like Azure or GCP. We can use this to impress potential employers during interviews and demonstrate our hands-on expertise.
✨Tip Number 3
Prepare for technical interviews! Brush up on your analytical skills and be ready to discuss Big Data solutions. We should practice common interview questions and even do mock interviews to build confidence before the big day.
✨Tip Number 4
Apply through our website! It’s often the best way to ensure your application gets noticed. Plus, we can tailor our applications to highlight how our skills align with the role of Data Architect II, making it easier for recruiters to see our fit.
We think you need these skills to ace Data Architect II: GenAI & Data Mesh Champion
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and cloud platforms 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 data architecture and how you can contribute to our mission of impacting medical discoveries. Keep it engaging and personal.
Showcase Your Analytical Skills: Since strong analytical skills are crucial for this role, make sure to include examples of how you've used these skills in past projects. We love seeing real-world applications of your expertise!
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’s super easy!
How to prepare for a job interview at Gsk
✨Know Your Data Architecture
Make sure you brush up on the latest trends in data architecture, especially around GenAI and Data Mesh. Be ready to discuss how you've applied these concepts in your previous roles, as this will show your depth of knowledge and relevance to the position.
✨Showcase Your Analytical Skills
Prepare examples that highlight your strong analytical skills. Think about specific projects where you used data to drive decisions or improve processes. This will demonstrate your ability to leverage data effectively in a regulated R&D environment.
✨Familiarise Yourself with Cloud Platforms
Since experience with Azure or GCP is crucial, make sure you can talk confidently about your experience with these platforms. Consider discussing any relevant projects where you utilised these technologies to solve complex data challenges.
✨Impact Through Collaboration
This role involves working closely with scientific teams, so be prepared to discuss how you've collaborated with cross-functional teams in the past. Highlight your communication skills and how you’ve ensured compliance while driving data-driven insights in your previous roles.
