Principal Specialist Data Modeling & Arch Enterprise

📣 إعلان

منذ 21 ساعة تقريباً

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About Ma'aden

Ma'aden, established in 1997, is recognized as one of the fastest-growing mining companies globally and the largest multi-commodity mining and metals company in the Middle East. The company is instrumental in developing the mining industry to become a key pillar of Saudi Arabia’s economy by building an integrated mining value chain. This role contributes to Ma'aden's growth and the future of mining in the Kingdom.

Role Overview

The Principal Specialist, Data Modeling & Arch Enterprise, leads the design, modeling, and evolution of enterprise data architecture. This ensures that data products, curated layers, and integration patterns are standardized, scalable, high-quality, and governed. The role defines how operational and corporate data should be modeled, aligned, and transformed to support analytics, reporting, AI enablement, and trusted downstream consumption across various business domains in Riyadh. This is a full-time position requiring over 10 years of experience.

Key Responsibilities

Develop and maintain conceptual, logical, and physical data models aligned with enterprise business domains and data architecture principles.
Define canonical models, conformed dimensions, master/reference data structures, and reusable modeling patterns for cross-domain consistency.
Design data product models and curated layer schemas that support enterprise reporting, analytics, AI use cases, and downstream integrations.
Establish enterprise modeling standards, naming conventions, guidelines, reusable templates, and quality expectations for delivery teams.
Partner with data governance teams to align business glossary definitions, stewardship ownership, metadata, lineage, and critical data elements.
Lead the creation and optimization of data product schemas, curated layers, semantic structures, and consumption-ready models.
Define modeling approaches for relational, non-relational, time-series, streaming, lakehouse, warehouse, and analytical platform requirements.
Define integration patterns that ensure consistent transformation logic, metadata, lineage, and data quality across source-to-consumption pipelines.
Act as a senior technical authority for data modeling and architecture decisions across enterprise data initiatives.
Mentor data modelers, data engineers, analysts, and delivery teams on modeling standards, patterns, and review practices.

Qualifications and Experience

Over 10 years of experience in data modeling and enterprise data architecture.
Demonstrated ability to lead the design, modeling, and evolution of complex data architectures.
Experience in defining and implementing enterprise modeling standards and governance.
Proficiency in designing data models for various platforms including relational, non-relational, and analytical systems.
Ability to ensure data models support time-variant structures, historical traceability, and semantic consistency.

Success Factors

Success in this role is measured by the standardization, scalability, and reusability of enterprise conceptual, logical, and physical data models, ensuring alignment with business domains. This includes improving semantic consistency across domains through canonical models, conformed dimensions, and reference data structures. The role's impact will be evident in curated layers and data product schemas that support trusted reporting, analytics, AI enablement, and downstream consumption. Additionally, success involves embedding metadata, lineage, data quality, stewardship, and governance expectations into modeling and integration patterns, and providing strong modeling assurance and practical design guidance to delivery teams.