Data Architect

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