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- Tasks: Design and implement innovative data architectures using cutting-edge cloud technologies.
- Company: Join JPMorgan Chase, a leader in financial services with a focus on technology.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Make a real impact by driving digital transformation and AI/ML initiatives.
- Qualifications: Expertise in data architecture, programming (Python/Java), and cloud technologies required.
- Other info: Collaborative environment with a strong emphasis on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
As a Principal Architect at JPMorgan Chase within the Enterprise Technology, AI/ML & Data Platforms organisation, you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions. Leverage your advanced architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes.
Our team delivers comprehensive data management solutions for making J.P Morgan Chase data discoverable, understandable, observable, trustworthy, accessible, and interoperable for authorized personas to drive BI and AI/ML initiatives with agility and velocity. It includes centres of excellence for multiple product domains, such as Data Lake Services, Data Migrations Services, Unified Data Catalog and Controls, Entitlements Services, and Data Analytics & Business Intelligence services, to drive digital transformation, cloud adoption, and AI/ML capabilities throughout the firm.
Job responsibilities:
- Design and implement a data mesh architecture that decentralises data ownership and management across domain teams.
- Develop and maintain data architecture standards, including data product interfaces, data contracts, and governance frameworks.
- Collaborate with domain teams to understand their data needs and provide guidance on best practices for data product development.
- Leverage AWS services (e.g., AWS Glue, Redshift, S3, Lambda) to build scalable and secure data solutions.
- Implement data governance and security measures to ensure data quality and compliance with industry standards.
- Monitor and optimise the performance and scalability of data products and infrastructure.
- Provide training and support to domain teams on data mesh principles and AWS technologies.
- Stay up-to-date with industry trends and emerging technologies in data mesh and cloud computing.
- Champion the firm’s culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills:
- Formal training or certification on Data Architecture concepts and expert applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Expertise in one or more programming languages (preference Python and Java).
- Expert level experience with AWS or other Public Cloud providers.
- Expert level with Databricks, Snowflake, Starburst, Trino, AWS Database & Analytics.
- Hands-on experience in working on BI and AI/ML solutions with business stakeholders and data scientists.
- Influencer with a proven record of successfully driving change and transforming across organisational boundaries.
- Ability to present and effectively communicate to Senior Leaders and Executives.
Principal Architect - AI/ML & Data Platforms in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Architect - AI/ML & Data Platforms in Glasgow
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to AI/ML and data platforms. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving AWS services or data architecture. This is your chance to demonstrate your expertise in a tangible way, so make sure it’s easy to access and visually appealing!
✨Ace the Interview
Prepare for technical interviews by brushing up on your programming skills, especially in Python and Java. Practice common architecture scenarios and be ready to discuss how you've implemented data governance and security measures in past roles.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Architect - AI/ML & Data Platforms in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with cloud technologies and data architecture, and don’t forget to mention any relevant certifications. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI/ML and data platforms. Share specific examples of your past work that demonstrate your expertise and how you can contribute to our team.
Showcase Your Collaboration Skills: Since this role involves working with various teams, make sure to highlight your collaboration experience. Talk about how you've successfully worked with domain teams in the past to drive best practices and deliver results.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest cloud technologies and data architecture concepts. Brush up on AWS services like Glue, Redshift, and S3, as well as your programming skills in Python and Java. Being able to discuss these topics confidently will show that you’re not just familiar with them, but that you can leverage them effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with domain teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve influenced change or driven projects across different teams. This will demonstrate your ability to work within a diverse environment and champion inclusivity.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data mesh architecture or governance frameworks. Practice articulating your thought process and decision-making strategies. This will help you convey your expertise and how you approach complex challenges in data management.
✨Stay Current with Industry Trends
Keep yourself updated on the latest trends in AI/ML and cloud computing. Be ready to discuss how emerging technologies could impact data architecture and governance. Showing that you’re proactive about learning will impress interviewers and demonstrate your commitment to driving innovation.
