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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