Senior Data Architect — AI-Ready Platforms & Governance

Integration Corporation; Amsterdam; Hybrid; EUR 80,000 - 120,000; Full time

Job summary

Integration Corporation is seeking a Data Architect to design information models, data flows and data platforms that support reporting and AI initiatives.

You will define conceptual, logical and physical data models, map data flows across CRM, ERP and other systems, and establish the target architecture (data warehouse, lakehouse, integration layer) with strong emphasis on data quality, governance and security.

Qualifications

• Design conceptual, logical and physical data models across business domains.
• Map and design data flows between CRM, ERP, data platforms and other systems.
• Define the target data platform architecture (data warehouse, lakehouse, integration layer).
• Set frameworks for data quality, master data, metadata and data ownership.
• Advise on data governance, privacy and security requirements.
• Guide data engineers and BI developers, and act as design authority in delivery.
• Support data migrations and make sure data is ready for reporting and AI.

Responsibilities

• Design conceptual, logical and physical data models across business domains.
• Map and design data flows between CRM, ERP, data platforms and other systems.
• Define the target data platform architecture (data warehouse, lakehouse, integration layer).
• Set frameworks for data quality, master data, metadata and data ownership.
• Advise on data governance, privacy and security requirements.
• Guide data engineers and BI developers, and act as design authority in delivery.
• Support data migrations and make sure data is ready for reporting and AI.

Skills

Data modeling

Data governance

Data architecture

Data quality

Tools

CRM systems

ERP systems

Data warehouses

Job description

Integration Corporation is seeking a Data Architect to design information models, data flows and data platforms that support reporting and AI initiatives.

You will define conceptual, logical and physical data models, map data flows across CRM, ERP and other systems, and establish the target architecture (data warehouse, lakehouse, integration layer) with strong emphasis on data quality, governance and security.