At a Glance
- Tasks: Design and implement cutting-edge data architectures for AI/ML workloads in a hybrid work environment.
- Company: Join a leading financial services company focused on innovative vehicle payment solutions.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous improvement and career advancement.
- Why this job: Make a real impact by shaping the future of data architecture in the finance sector.
- Qualifications: 10+ years in data architecture with strong cloud-native platform experience.
The predicted salary is between 80000 - 100000 £ per year.
Role: Data Architect
Experience: 10+ years
Location: London
Work mode: Hybrid
Key Responsibilities
- Data & AI Architecture
- Design end to end data architectures to support AI/ML workloads, including structured, semi-structured, and unstructured data.
- Develop data models, canonical schemas, entity definitions, and integration patterns for international vehicle payment systems.
- Architect scalable data pipelines supporting ingestion, transformation, feature engineering, and model deployment.
- Define the long-term data architecture strategy aligned with Corpays' International Vehicle Payments' technology roadmap.
- Ensure data architectures support explainable AI, bias management, and transparent model performance.
- AI Platform Enablement
- Collaborate with Data Science teams to create a unified feature store, ML registry, and model ready datasets.
- Implement real time/near real time data flows required for fraud detection and authorisation decisioning.
- Evaluate and recommend AI/ML technologies, vector databases, model ops platforms, and data platforms.
- Enable secure integration of generative AI and predictive AI in customer- and operator-facing use cases.
- Data Governance & Quality
- Establish data quality, lineage, metadata, and cataloguing standards.
- Partner with Security and Compliance teams to ensure adherence to PCI, GDPR, and financial services data standards.
- Define and enforce policies on data retention, PII handling, model transparency, and AI governance.
- Engineering & Collaboration
- Work closely with software engineering teams to embed data centric design into product architecture.
- Provide architectural guidance for APIs, microservices, and event-driven systems powering vehicle payments.
- Conduct architectural reviews, create reference architectures, and mentor engineers.
- Drive continuous improvement of data reliability, scalability, and cost efficiency.
Skills & Experience Required
- 10+ years in data architecture, solution architecture, or similar roles.
- Strong experience designing cloud-native data platforms (AWS preferred).
- Deep knowledge of: Distributed data processing, Data-lake/Lakehouse architectures, Streaming platforms & Feature stores and model serving.
- Understanding of ML Ops practices (CI/CD for ML, automated retraining, monitoring).
- Proven experience supporting or architecting AI/ML-driven products.
- Strong understanding of security and regulatory controls for financial data.
- Ability to communicate clearly with technical and non-technical stakeholders.
Preferred
- Experience in payment processing, fleet/vehicle telematics, or financial services.
- Familiarity with vector databases and LLM-based architectures.
- Exposure to real-time fraud detection systems.
- Certifications in Azure Data/AI, Enterprise Architecture, or similar.
- Prior experience with enterprise-scale modernization initiatives.
Success Measures
- Delivery of a scalable, reliable data and AI architecture aligned with business goals.
- Reduction in model deployment time and data preparation complexity.
- Improved real-time insights for fraud detection, spend control, and vehicle payment workflows.
- Strong partnerships across Product, Engineering, Data Science, and Compliance.
- Demonstrated uplift in data quality, governance, and platform performance.
Data Architect in London employer: N Consulting Global
At Corpays, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our hybrid work model provides flexibility while our commitment to employee growth ensures that you will have ample opportunities to advance your career in data architecture and AI. Join us to be part of a forward-thinking team that values diversity, encourages continuous learning, and is dedicated to making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data architecture. You never know who might have a lead on your dream job or can introduce you to someone who does.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in data architecture. Whether it's a GitHub repo or a personal website, having tangible evidence of your skills can really set you apart from the competition.
✨Ace the Interview
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Apply Through Us!
Don't forget to check out our website for the latest job openings. Applying directly through us not only gives you a better chance but also keeps you in the loop about any updates or new roles that might pop up!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Architect role. Highlight your 10+ years of experience and showcase specific projects that align with our key responsibilities, like designing data architectures for AI/ML workloads.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data architecture and how your skills can help us at StudySmarter. Don't forget to mention any relevant experience in payment processing or financial services.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include your experience with cloud-native data platforms, distributed data processing, and ML Ops practices. This will help us understand how you can contribute to our team.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at N Consulting Global
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the latest trends and technologies in data architecture, especially those relevant to AI/ML workloads. Brush up on your knowledge of cloud-native platforms like AWS, and be ready to discuss how you've designed scalable data pipelines in the past.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Science teams and software engineers, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve successfully partnered with different teams to achieve a common goal, especially in the context of data governance and quality.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Be ready to explain your experience with distributed data processing, streaming platforms, and ML Ops practices. Practise articulating complex concepts in a way that’s understandable to non-technical stakeholders.
✨Demonstrate Your Understanding of Compliance
Given the importance of security and regulatory controls in this role, brush up on PCI, GDPR, and financial services data standards. Be prepared to discuss how you’ve ensured compliance in previous projects and how you would approach data governance in this new role.
