At a Glance
- Tasks: Design innovative data architectures for AI/ML workloads and collaborate with Data Science teams.
- Company: Leading tech firm focused on revolutionising vehicle payment systems.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and innovation.
- Why this job: Shape the future of data architecture and make a real impact in the tech industry.
- Qualifications: 10+ years in data architecture with strong knowledge of AI/ML technologies.
The predicted salary is between 80000 - 100000 £ per year.
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 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.
- 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 modernisation 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 employer: Falcon Smart IT (FalconSmartIT)
As a leading employer in the financial technology sector, we offer an innovative work environment where Data Architects can thrive. Our commitment to employee growth is evident through continuous learning opportunities and collaborative projects that drive meaningful impact in the realm of AI and data architecture. Located in a vibrant city, we foster a culture of inclusivity and creativity, ensuring that our team members are empowered to shape the future of international vehicle payments while enjoying a healthy work-life balance.
Contact Details:
Falcon Smart IT (FalconSmartIT) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to data architecture and AI/ML. 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 and achievements in data architecture. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to demonstrate your expertise in building scalable data pipelines and working with AI technologies.
✨Ace the Interview
Prepare for interviews by brushing up on common questions related to data governance, ML Ops, and real-time data flows. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Apply Through Our Website
Don't forget to check out our careers page at StudySmarter! Applying directly through our website not only shows your interest but also gives you a better chance of being noticed by our hiring team. Let's get you that dream job in data architecture!
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data architecture and AI/ML. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Showcase Your Technical Skills:When detailing your experience, focus on the specific technologies and methodologies you've used, especially those related to distributed data processing and ML Ops. We love seeing concrete examples of your work!
Communicate Clearly:Remember, we’re looking for someone who can bridge the gap between technical and non-technical teams. Use clear language in your application to demonstrate your ability to communicate complex ideas simply.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the latest data architectures, especially those that support AI/ML workloads. Brush up on distributed data processing, data-lake architectures, and streaming platforms. Being able to discuss these topics confidently will show your expertise.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Science teams and software engineers, be prepared to share examples of how you've successfully collaborated in the past. Highlight any projects where you’ve integrated data-centric design into product architecture or mentored engineers.
✨Understand Compliance and Security Standards
Familiarise yourself with PCI, GDPR, and other financial services data standards. Be ready to discuss how you’ve ensured adherence to these regulations in previous roles. This knowledge is crucial for building trust with the interviewers.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about AI/ML technologies, vector databases, and model ops platforms. Review your past experiences with these technologies and be ready to explain your decision-making process and the outcomes of your architectural choices.
