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- Tasks: Design and implement innovative data mesh architecture using AWS services.
- Company: Leading global financial services firm with a focus on diversity and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI/ML data solutions.
- Qualifications: Experience in Data Architecture, programming (Python, Java), and AWS expertise.
The predicted salary is between 54000 - 84000 £ per year.
A leading global financial services firm is seeking a Principal Architect to work within their Enterprise Technology, AI/ML & Data Platforms organization. The role involves designing data mesh architecture and maintaining data standards while leveraging AWS services to implement scalable data solutions.
Ideal candidates will have:
- Formal training in Data Architecture
- Hands-on experience with programming languages like Python and Java
- Expertise in AWS and data analytics tools
The company values diversity, equity, and inclusion and offers a collaborative environment.
AI/ML Data Platform Architect — Cloud Data Mesh Leader in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Data Platform Architect — Cloud Data Mesh Leader in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and data mesh architecture. We want to see your hands-on experience with Python and Java in action!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI/ML and data platforms. We suggest practising your responses with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI/ML Data Platform Architect — Cloud Data Mesh Leader in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data architecture and AWS services. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with Python and Java!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and data platforms. We love seeing candidates who share our values of diversity, equity, and inclusion, so let us know how you embody these principles.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We’re interested in real-world applications of your skills, especially those involving scalable data solutions and data mesh architecture.
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 you’re keen on joining our collaborative environment!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Mesh Inside Out
Make sure you understand the principles of data mesh architecture thoroughly. Be ready to discuss how you've applied these concepts in previous roles, especially in relation to AWS services. This will show your potential employer that you're not just familiar with the theory but can also implement it practically.
✨Showcase Your Programming Skills
Brush up on your Python and Java skills before the interview. Prepare to discuss specific projects where you've used these languages to solve problems or build solutions. Being able to demonstrate your coding prowess will set you apart from other candidates.
✨Highlight Your Collaborative Spirit
Since the company values a collaborative environment, be prepared to share examples of how you've worked effectively in teams. Discuss any experiences where you’ve contributed to diversity, equity, and inclusion initiatives, as this aligns with their core values.
✨Prepare for Technical Questions
Expect technical questions related to data architecture and analytics tools. Review common challenges faced in data platforms and think about how you would address them. Practising your responses will help you feel more confident and articulate during the interview.
