Data Architect (ID:3391)

• Act as a core member of the enterprise data team, responsible for establishing and strengthening data foundations.
• Drive Data Architecture and Data Management initiatives across domains including: Data Governance, Data Quality Management, Reference & Master Data Management (MDM), Metadata Management, Data Privacy.
• Lead data epics and solution architecture activities in agile delivery environments.
• Define, develop, and maintain enterprise-wide data models aligned with business objectives.
• Contribute to enterprise data strategy and architecture, ensuring alignment with organizational goals., * Translate business requirements into scalable data models and architectures.
• Establish and operationalize data governance frameworks based on DAMA-DMBOK.
• Ensure consistency and traceability across data domains, systems, and models.
• Set up approaches for data quality measurement, monitoring, and reporting.
• Design and maintain enterprise data architecture aligned with organizational standards.
• Influence decision-making and manage organizational change related to data practices.

What We Bring to the Table:

• A collaborative environment involving data engineering, analytics, and business teams.
• The ability to shape data foundations, standards, and long-term data strategy.
• A role with high impact and visibility across business and technology stakeholders.

• Strong working knowledge of the DAMA-DMBOK framework and data governance principles.
• Proven experience in conceptual, logical, and physical data modeling.
• Hands-on expertise in metadata management, data lineage, and business glossaries.
• Experience implementing and monitoring data quality frameworks and metrics.
• Practical exposure to MDM, reference data, and data stewardship practices.
• Familiarity with data catalog and governance tools such as: Collibra and Atlan.
• Working knowledge of data modeling tools, preferably Sparx EA.