Data Architect

Data Architecture Development Design and maintain data architecture frameworks including conceptual logical and physical data models Develop and enforce data standards policies and governance frameworks to ensure data quality consistency and security Lead the design and implementation of data integration pipelines ensuring seamless interoperability between internal and external systems 2 Data Discovery and Profiling Conduct data discovery and profiling activities to assess data quality identify anomalies and understand data relationships Analyze existing data assets and processes to identify opportunities for optimization and improvement Collaborate with stakeholders to document data requirements and identify data sources 3 Data Integration and Transformation Develop and implement ETL Extract Transform Load processes to integrate data from multiple sources Ensure the integrity accuracy and timeliness of data flowing through pipelines Design and implement data lakes data warehouses and data marts to support analytics and reporting needs 4 Data Governance and Compliance Establish and enforce governance practices to ensure compliance with organizational policies and regulatory requirements Monitor and manage data security privacy and access controls to protect sensitive information Provide expertise in regulatory standards such as Qatar NIA GDPR HIPAA or equivalent as applicable 5 Analytics and AI Enablement Support the development of AIdriven use cases by designing data pipelines and models optimized for machine learning and analytics Collaborate with data scientists and business analysts to enable predictive analytics and advanced data insights Leverage cloudbased data services and platforms to enhance scalability and efficiency 6 Collaboration and Stakeholder Engagement Work closely with business units application architects and IT teams to align data architecture with organizational goals Partner with crossfunctional teams to ensure data solutions meet performance scalability and security requirements Act as a liaison between technical teams and business stakeholders to translate business needs into technical data solutions 7 Emerging Technologies and Innovation Stay updated on emerging trends in data architecture big data and analytics technologies Evaluate and recommend tools and technologies that enhance the organization s data capabilities Promote a culture of innovation by identifying opportunities to use data in transformative ways 8 Documentation and Knowledge Sharing Create and maintain comprehensive documentation for data architecture models and processes Provide training and guidance to teams on best practices for data management and governance Develop dashboards and reports to communicate data architecture performance and compliance metrics to stakeholders