Architect, Data

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 that 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 automation opportunities as much as possible.

Compliance:

Comply with related policies, procedures, and work instructions.

Health, safety and environment:

Ensure compliance with 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