Data AI Architect

Xebiacee; Poland; On-site; PLN 180,000 - 360,000; Full time

Job summary

Xebia in Poland seeks a Data Architect to design domain data models for transactional systems with auditability and GDPR compliance. You will build event-driven data pipelines using outbox, CDC and Kafka, and shape analytics and reporting architectures for Risk, Finance, and Sales.

You will also define data governance, data lineage, and privacy-aware data contexts for AI, collaborating across Foundation and Lab to align production architecture.

Qualifications

• Experience in data architecture and modelling for transactional systems.
• Design domain data models with auditability and historical records.
• Experience with event-driven integration patterns (outbox, CDC).
• Familiarity with Kafka or equivalent streaming platforms.
• Knowledge of schema management and schema registry concepts.
• Ability to design analytics and reporting data architectures.
• Strong data governance knowledge including data quality and retention.
• Understanding GDPR requirements for data architecture.
• Ability to work across prototype and production streams in EU region.

Responsibilities

• Design domain data models for parties, deals, assets and payment plans.
• Incorporate auditability and historical data requirements.
• 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 target production architecture.

Skills

Data architecture

Data modelling

Auditability in data models

Data governance

GDPR knowledge

Collaboration across teams

Tools

Apache Kafka

CDC (Change Data Capture)

Outbox pattern

Schema registry

Data lineage tooling

Job description

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we are a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

You will be:

• 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.

Your profile:

• 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.
• 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.