Data AI Architect

Location: Bulgaria, Poland, or Romania. Work from the European Union region and a work permit are required.

Company

hirify.global is a global AI-first digital transformation and engineering partner with over 25 years of experience and 5,000 professionals across 16 countries, delivering data platforms, AI solutions, and scalable digital products.

What you will do

• Design domain data models for parties, deals, assets, and payment plans, including auditability and historical data requirements.
• Design event streams and integration patterns using outbox, CDC, Kafka, and schema registry concepts.
• Design analytics and reporting layers for Risk, Finance, and Sales, including metric definitions, reconciliation, and data lineage.
• Design governed data contexts for AI agents using knowledge graphs, vector stores, and masked datasets.
• Define data governance approaches covering data quality, retention, access control, and GDPR requirements.
• Align experimental capabilities across Foundation and Lab with the target production architecture.

Requirements

• 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), plus Apache Kafka or comparable event-streaming architectures.
• Understanding of schema management and schema registry concepts.
• Experience designing analytics and reporting data architectures, including metric definitions, reconciliation, and data lineage.
• Strong knowledge of data governance covering data quality, retention, and access control.
• Knowledge of GDPR requirements relevant to data architecture.
• Ability to design architectures supporting transactional workloads alongside downstream analytics and AI use cases.
• Ability to collaborate across prototype and production-oriented engineering streams.
• Work from the European Union region and a work permit are required.

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.

Culture & Benefits

• Work within a global AI-first digital transformation and engineering organization.
• Collaborate with nearly 1,000 experts in the CEE region.
• Contribute to a strong engineering culture focused on knowledge sharing and growth.

Hiring process

• CV review.
• HR call, interview, and client interview.
• Final decision.