Data Architect
DataArt
Client
Our client is modernizing and scaling its data ecosystem to support intelligent, real-time, secure, and compliant fleet and vehicle-related payment solutions. The AI Focused Data Architect will define and evolve the data architecture needed to power advanced analytics, machine learning, and AI-driven features such as fraud detection, risk scoring, spend optimization, and predictive vehicle insights.
Position overview
This role combines deep architectural expertise with hands-on knowledge of AI/ML data pipelines. You will design robust, secure, real-time data platforms that enable our client to deliver next-generation international vehicle payment capabilities.
Responsibilities
Plan end-to-end data architectures that support AI and ML workloads using structured, semi-structured, and unstructured data
Develop data models, canonical schemas, entity definitions, and integration approaches for international vehicle payment workflows
Architect scalable data pipelines that handle ingestion, transformation, feature engineering, and model deployment
Define a long-term data architecture strategy aligned with the platform roadmap
Ensure the data architecture supports explainable AI, responsible AI, and transparent model evaluation
Collaborate with data science teams to enable a unified feature store, ML registry, and model-ready datasets
Implement real-time and near-real-time data flows for fraud detection and authorization decisioning
Evaluate and recommend AI and ML technologies, vector stores, model operations platforms, and data platforms
Enable secure integration of generative AI and predictive AI into customer and operator-facing solutions
Establish data quality, lineage, metadata, and cataloguing standards
Partner with security and compliance teams to align with PCI, GDPR, and financial services data requirements
Define and support policies for data retention, PII handling, model transparency, and AI governance
Collaborate with software engineering teams to embed data-centric design principles into product architecture
Provide architectural guidance on APIs, microservices, and event-driven systems
Conduct architectural reviews, create reference architectures, and mentor engineers
Drive improvements in data reliability, platform scalability, and cost efficiency
Requirements
10+ years of experience in data architecture, solution architecture, or related roles
Experience designing cloud native data platforms in AWS
Knowledge of distributed data processing, data lake and lakehouse architectures, streaming platforms, feature stores, and model serving patterns
Understanding of ML operations practices, including CI/CD for ML, automated retraining, and model monitoring
Experience designing or supporting AI or ML-based products
Understanding of security and regulatory requirements for financial data
Ability to communicate clearly with technical and non-technical stakeholders
Nice to have
Experience in payment processing, vehicle telematics, or financial services
Familiarity with vector databases and LLM-based architectures
Exposure to real-time fraud detection systems
Certifications in Azure Data or AI, Enterprise Architecture, or similar areas
Experience with enterprise-scale modernization programs