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- Tasks: Design innovative data mesh architecture and implement scalable solutions using AWS.
- 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 in finance.
- Qualifications: Experience in Data Architecture, programming (Python/Java), and AWS expertise required.
- Other info: Collaborative environment with a strong commitment to equity and inclusion.
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. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and data mesh architecture. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI/ML and data platforms. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 reflects the skills and experiences that align with the AI/ML Data Platform Architect role. Highlight your expertise in data architecture, AWS services, and any programming languages like Python and Java that you’ve worked with.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data mesh architecture and how your background makes you a great fit for our team. Don’t forget to mention your commitment to diversity, equity, and inclusion!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing practical examples of how you've implemented scalable data solutions using AWS or other tools.
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 us 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 expertise and help you stand out.
✨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 implement solutions. Real-world examples will demonstrate your hands-on experience effectively.
✨Familiarise Yourself with AWS Services
Since the role involves leveraging AWS, make sure you're well-versed in the relevant services. Be prepared to explain how you've used AWS to create scalable data solutions in the past. This will highlight your technical capabilities and fit for the role.
✨Emphasise Collaboration and Inclusion
Given the company's focus on diversity, equity, and inclusion, be ready to share experiences that showcase your ability to work collaboratively in diverse teams. Highlighting your commitment to these values will resonate well with the interviewers.
