Data Architect
At a glance
Mid-level Data Architecture & Governance role at alfanar. Riyadh.
Pay not stated Data Architect salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape and maintain organization-wide data architecture, including conceptual, logical and physical models for business and technical needs
- Set architecture rules and integration approaches, then oversee data connections and ETL/ELT flows between systems
- Address duplicated, inconsistent and fragmented data while setting quality controls, metadata practices and lineage tracking
- Work with cybersecurity and privacy teams on classification, access controls and architecture that supports data protection compliance
- Assess data platforms and tools, support relational and non-relational database design, and tune systems for reliable performance and scale
What you bring
- A bachelor's degree in information technology or a related field
- Six to ten years of relevant work experience
- Skills in data analysis, collection, cleansing, lifecycle management, migration, planning and quality assurance
Who this fits
This mid-level role suits someone who can design data models and integration flows while contributing to governance, security and system performance. The position is based in Riyadh, Saudi Arabia.
From the employer
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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 fieldWork Experience
6 to 10 YearsTechnical / Functional Competencies
Data AnalysisData CollectionData CleansingData Lifecycle ManagementData MigrationData PlanningData Quality Assurance
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