Data Architect

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Data Architect

For our client, we are looking for an experienced Enterprise Data Architect to lead the definition and implementation of enterprise-wide data architecture for a complex, multi-entity organization. In this role, you will translate business and data strategy into a coherent target architecture, establish common data models and integration standards, and define a phased transition roadmap—ensuring interoperability, data consistency, and trust across all business units.

Your Responsibilities:

  • Assess the existing data landscape across business units, including platforms, models, integrations, dependencies, and data ownership.

  • Define enterprise data architecture principles, standards, and target-state architectures.

  • Develop conceptual and logical data models, canonical models, and common definitions for priority data domains.

  • Establish integration patterns, interoperability standards (APIs, event-driven, batch), and federated architecture governance.

  • Identify architecture gaps, migration priorities, and dependencies to deliver an actionable, phased transition roadmap.

Key Requirements & Technologies:

  • Proven track record in Enterprise Data Architecture within complex, multi-entity or large-scale corporate environments.

  • Deep expertise in conceptual and logical data modeling, as well as canonical data models.

  • Solid experience in Cloud / Hybrid Data Architecture, Data Lakehouses, and Modern Data Warehouses.

  • Practical understanding of integration paradigms: APIs, Event-Driven Architecture, and Batch pipelines.

  • Knowledge of Data Governance frameworks, Metadata Management, Data Lineage, and Master Data Management (MDM).

  • High proficiency in English (B2/C1) for seamless daily collaboration with international business and technical stakeholders.

Project Setup & Offer:

  • Rate: Up to 200 – 230 PLN/h net + VAT (B2B)

  • Location: Remote (with a mandatory 1-week on-site onboarding in Riyadh)

  • Start Date: ASAP

  • Contract Type: B2B Contract

ID: 857 job_post.published_on: 06/11/2026
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