Data Architect
⚲ Wrocław, Łódź, Lublin, Warszawa, Kraków
37 000 - 44 500 PLN netto (B2B) | 30 000 - 36 500 PLN brutto (UoP)
Wymagania
- AWS
- CI/CD
- Data architecture
Opis stanowiska
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
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
🔍 Dekoder Ogłoszenia
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modernizing and scaling its data ecosystem
Projekt prawdopodobnie jest we wczesnej fazie rozwoju lub wymaga znaczących zmian, co może oznaczać niestabilność i ciągłe przeprojektowywanie.
🔴
AI Focused Data Architect
Chociaż tytuł sugeruje skupienie na AI, rola może wymagać również szerokiego zakresu obowiązków związanych z ogólną architekturą danych, a nie tylko z aspektami AI/ML.
🔴
hands-on knowledge of AI/ML data pipelines
Oczekuje się, że kandydat będzie aktywnie budował i zarządzał potokami danych, a nie tylko projektował je na wysokim poziomie.
🔴
Define a long-term data architecture strategy aligned with the platform roadmap
Strategia może być jeszcze nie w pełni zdefiniowana lub podlegać częstym zmianom w zależności od rozwoju platformy.
🔴
Implement real-time and near-real-time data flows
Wymaga to nie tylko projektowania, ale także faktycznego wdrażania rozwiązań, które mogą być złożone i wymagać ciągłego monitorowania.