Principal Specialist Data Modeling & Arch Enterprise

About the Role

Maaden is seeking a Principal Specialist Data Modeling & Arch Enterprise to lead the design, modeling, and evolution of enterprise data architecture in Saudi Arabia. This full-time role ensures that data products, curated layers, and integration patterns are standardized, scalable, high-quality, and governed. The specialist will define how operational and corporate data is modeled, aligned, and transformed to support analytics, reporting, AI enablement, and trusted downstream consumption across business domains.

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.
• Embed governance-by-design into data models, curated layers, transformation logic, data quality controls, and consumption patterns.
• 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.
• Align operational, corporate, and analytical data structures to enable reliable reporting, analytics, AI enablement, and downstream system integration.
• 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, review practices, and quality expectations.

Qualifications and Experience

• A minimum of 10 years of experience in data modeling and enterprise data architecture.
• Demonstrated ability to ensure models address performance, maintainability, scalability, auditability, lineage, and future reuse across platforms and domains.
• Experience reviewing and approving modeling deliverables from internal teams and external vendors to ensure architectural consistency and quality.
• Proficiency in ensuring data models support time-variant structures, historical traceability, auditability, semantic consistency, and trusted analytics consumption.
• Ability to coordinate with data engineering, platform, analytics, AI, and enterprise architecture teams to ensure models are technically feasible and reusable.
• Experience identifying and resolving modeling inconsistencies, duplication, semantic gaps, and integration challenges across domains and platforms.

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, reference data structures, and naming standards. Effective performance will also be demonstrated by curated layers and data product schemas that support trusted reporting, analytics, AI enablement, and downstream consumption, with metadata, lineage, data quality, stewardship, and governance expectations embedded into modeling and integration patterns. Providing strong modeling assurance, coaching, and practical design guidance to delivery teams, reducing duplication and improving reuse, is also key.