Falcon Smart IT (FalconSmartIT)
Data Architect
London
Posted about 12 hours ago
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Job Title: Data Architect
Job Location: London, UK/Hybrid
Job Type: Permanent
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 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 authorization 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.
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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.
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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.
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Skills
Data Architecture
AI/ML Architecture
Cloud-native Platforms
AWS
Distributed Data Processing
Lakehouse Architecture
Streaming Platforms
ML Ops
Data Governance
PCI Compliance
GDPR
Vector Databases
API Design
Microservices
Event-driven Systems
Feature Stores
Location