Data Architect

Apply now » Apply now Start apply with LinkedIn Apply Now Start Please wait... | Back to alfanar Data Architect Description: . 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. Technology & Infrastructure: Evaluate and recommend data architecture tools, technologies, and platforms. Support database design (relational and non-relational systems). Optimize data systems for performance, scalability, and reliability. Role Accountability HR Proficiency: Ability to obtain updated soft and technical skills related to the job. Delivery: Perform the planned activities to meet the operational and development targets as per delivery schedules. Utilize resources effectively to achieve objectives within efficient cost and time. Provide a periodic report formatted by detailing the deviation and execution of planned tasks. Problem-Solving: Solve any related problems arise and escalate any complex operational issues. Quality: Ensure quality requirements to develop effective quality control and processes including specifications for products or processes or related activities. Business Process Improvements: Coordinate well-defined written systems, policies, procedures, and seek automations opportunities as much as possible. Compliance: Comply to related policy and procedures and work instructions. Health, Safety and Environment: Ensure compliance of relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products/services. 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 Apply now » Apply now Start apply with LinkedIn Apply Now Start Please wait... Find similar jobs: Corporate and Support Service, All Openings Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 2019 © alfanar Group-All rights reserved

Bachelor Degree in Information Technology or Any relevant field. 6 to 10 Years of Work Experience.

Design and maintain the enterprise data architecture across the organization. Develop conceptual, logical, and physical data models. 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. 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. Evaluate and recommend data architecture tools, technologies, and platforms. Support database design (relational and non-relational systems). Optimize data systems for performance, scalability, and reliability.