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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on data platforms for AI/ML in vehicle payment capabilities, including fraud detection, risk scoring and predictive vehicle insights. Core technologies include AWS, data lake/lakehouse, streaming, feature store and model serving. Responsibilities cover end-to-end data architecture design, canonical schemas and entity modeling, building scalable pipelines, real-time fraud flows, integrating generative and predictive AI, enforcing data quality, lineage and cataloging, and ensuring PCI and GDPR compliance. Required 10+ years in data or solution architecture.
from: 1 October 2026
to: 31 October 2026
41 000 - 52 000 złnet (+ VAT)/ mth.B2B contract (full-time)
33 000 - 43 000 złgross/ mth.contract of employment
Offer parameters
level:expert
working mode:remote
location:Warszawa, Masovian
Warszawa, Masovian
Requirements
Expected technologies
AWS
Docker
Optional technologies
Python
SQL
Kafka
Redis
PostgreSQL
TensorFlow
PyTorch
Azure DevOps
Figma
Our 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
Optional
- 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
Your 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 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
About the project
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.
Design robust, secure, real time data platforms that enable our client to deliver next generation international vehicle payment capabilities.
This is how we organize our work
This is how we work
in houseyou focus on a single project at a timeyou have influence on the technological solutions appliedyou have influence on the productagile
Team members
20+ people:backend developertechnical leaderarchitectdevOpsdata scientistproject manager
This is how we work on a project
- Continuous Deployment
- Continuous Integration
- DevOps
- documentation
- test automation
Development opportunities we offer
- conferences abroad
- conferences in Poland
- mentoring
- substantive support from technological leaders
- technical knowledge exchange within the company
DataArt Poland sp. z o.o.
Our client is modernizing and scaling its data ecosystem to support intelligent, real time, secure, and compliant fleet and vehicle related payment solutions.
Data Architect
33k–43k zł / mth. (CoE), 41k–52k zł / mth. (B2B)
I apply to:
DataArt Poland sp. z o.o.
Warszawa, Masovian
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.