Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.
Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.
Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.
Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.
Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.
Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.
Strong analytical, architectural, and stakeholder management skills.
GCC and/or Qatar banking experience is highly desirable.
Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred.
Evaluation Criteria
Submitted Profiles Will Be Assessed Based On
Relevance and depth of Data Architecture, Enterprise Data Management, and Data Engineering experience.
Experience in designing and governing enterprise-scale data platforms, architecture models, and integration frameworks.
Understanding of Data Governance, Data Quality, Metadata Management, Data Lineage, and architecture governance disciplines.
Exposure to AI/ML ecosystems, Responsible AI controls, and technical governance frameworks.
Banking / financial services domain exposure, preferably within Qatar or the GCC.
Ability to collaborate effectively across business, technology, risk, compliance, and governance stakeholders.
Availability to support immediate project timelines
