Data AI Architect

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Nieokreślone0Full-time

#475941·Dodano 9 dni temu·1

Źródło: Xebia

Tech Stack / Keywords

data architecturedata modellingoutboxChange Data Capture (CDC)Apache Kafkaschema registrydata governanceknowledge graphsvector storesGDPR

Podsumowanie oferty

Design data architecture for transactional systems, analytics and reporting, and AI-agent data contexts. The role covers domain data models, event-driven integrations, and data governance supporting Risk, Finance, and Sales.

Wymagania

Strong experience in data architecture and data modelling.
Experience designing domain data models for transactional systems, including auditability and historical records.
Experience with event-driven data integration patterns, including outbox and Change Data Capture (CDC).
Experience with Apache Kafka or comparable event streaming architectures.
Understanding of schema management and schema registry concepts.
Experience designing analytics and reporting data architectures.
Understanding of metric definitions, reconciliation, and data lineage.
Strong knowledge of data governance, including data quality, retention, and access control.
Knowledge of GDPR requirements relevant to data architecture.
Ability to design architectures that support transactional workloads alongside downstream analytics and AI use cases.
Ability to collaborate across prototype- and production-oriented engineering streams.

Nice to have:

Experience designing data architectures for AI or agent-based platforms.
Experience with knowledge graphs, vector stores, or data prepared for retrieval-based AI solutions.
Experience designing approaches for masked or privacy-sensitive datasets.
Experience supporting data requirements for Risk, Finance, or Sales.
Data architecture experience in financial services, leasing, or vendor finance.
Familiarity with data requirements for deterministic core banking systems.

Obowiązki

Design domain data models for parties, deals, assets, and payment plans.
Incorporate auditability and historical data requirements into the data model.
Design event streams and integration patterns using outbox, CDC, Kafka, and schema registry.
Design the analytics and reporting layer for Risk, Finance, and Sales.
Establish metric definitions and support reconciliation and data lineage.
Design governed data context for AI agents, including knowledge graphs, vector stores, and masked datasets.
Define data governance approaches for data quality, retention, and access control.
Ensure the data architecture addresses GDPR requirements.
Collaborate across Foundation and Lab to align experimental capabilities with the target production architecture.

Inne informacje

Work from the European Union region and a work permit are required.
Recruitment process: CV review, HR call, interview, client interview, and decision.

Xebia sp. z o.o.

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