Data Architect
Miejsce pracy: Warszawa
Technologies we use
Expected
Optional
- Python
- SQL
- Kafka
- Redis
- PostgreSQL
- TensorFlow
- PyTorch
- Azure DevOps
- Figma
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
Team size
20+
This is how we work
- in house
- you focus on a single project at a time
- you have influence on the technological solutions applied
- you have influence on the product
- agile
Team members
- backend developer
- technical leader
- architect
- devOps
- data scientist
- project manager
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
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
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.
By applying, I consent to the processing of my personal data for the purpose of conducting the recruitment process. Informujemy, że administratorem danych jest DataArt Poland Sp z o o z siedzibą w Lublinie, Ul. Zana 39 a, 20-601 Lublin (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją