ARCHITECT, DATA
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Key skills for this role
About the Role
Alfanar is seeking a Data Architect to design and govern enterprise data architecture, ensuring data is structured, integrated, secure, and high-quality. The role involves developing data models, overseeing data integration, establishing data quality standards, and supporting compliance.
Key Skills for This Role
Responsibilities
- Design and maintain the enterprise data architecture across the organization.
- Develop conceptual, logical, and physical data models to support business and technical requirements.
- Define data standards, architecture principles, and integration patterns.
- Design and oversee data integration solutions across multiple systems and platforms.
- Define ETL/ELT processes and ensure reliable data flow between source and target systems.
- Address data redundancy, inconsistency, and fragmentation issues.
- Establish and enforce data quality standards and controls.
- Contribute to data governance frameworks, policies, and procedures.
- Ensure proper metadata management and data lineage tracking.
- Collaborate with cybersecurity and privacy teams to ensure secure data architecture.
- Support compliance with data protection regulations such as PDPL and GDPR where applicable.
- Implement data classification and access control standards.
Requirements
- Bachelor Degree in Information Technology or any relevant field
- 6 to 10 Years of work experience
- Experience in data architecture design and data modeling
- Knowledge of data integration and ETL/ELT processes
- Understanding of data governance and data quality frameworks
Full Job Posting
Job Purpose
- To design and govern the enterprise data architecture, ensuring data is structured, integrated, secure, and high quality to support business operations, analytics, and regulatory compliance.
Key Accountability Areas
- Data Architecture Design: Design and maintain the enterprise data architecture across the organization.
- Develop conceptual, logical, and physical data models to support business and technical requirements.
- Define data standards, architecture principles, and integration patterns.
- Data Integration & Management: Design and oversee data integration solutions across multiple systems and platforms.
- Define ETL/ELT processes and ensure reliable data flow between source and target systems.
- Address data redundancy, inconsistency, and fragmentation issues.
- Data Quality & Governance: Establish and enforce data quality standards and controls.
- Contribute to data governance frameworks, policies, and procedures.
- Ensure proper metadata management and data lineage tracking.
- Security & Compliance Support: Collaborate with cybersecurity and privacy teams to ensure secure data architecture.
- Support compliance with data protection regulations such as PDPL and GDPR where applicable.
- Implement data classification and access control standards.
Qualifications
- Academic Qualification: Bachelor Degree in Information Technology or Any relevant field
- Work Experience: 6 to 10 Years
- Technical / Functional Competencies: Data Analysis, Data Collection, Data Cleansing, Data Lifecycle Management, Data Migration, Data Planning, Data Quality Assurance
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