Principal Specialist, Data Modeling & Arch (OT)

About the role

Ma'aden, a major mining and metals company, is hiring a Principal Specialist for data modeling and architecture focused on Operational Technology (OT) in Riyadh. The role sets the data modeling and architecture foundation for OT and industrial data across plants and sites, enabling trusted OT analytics by standardizing how assets, tags, events, alarms, measurements, production contexts, historians, SCADA/DCS, condition monitoring and maintenance data are represented and aligned with enterprise IT data products.

Key responsibilities

• Define enterprise OT data modeling standards for time-series data, events, alarms, assets, tags, measurements and production contexts, including canonical concepts such as asset and location hierarchies, tag naming and measurement definitions.
• Design scalable data schemas for curated OT layers and reusable OT data products with auditability, lineage and quality attributes.
• Architect OT-to-IT data alignment patterns that link operational measurements with enterprise entities for reporting and analytics, and define integration rules for tag mapping, unit standardization and semantic consistency.
• Embed governance-by-design into OT data models, including ownership, metadata, lineage, quality rules and lifecycle controls, and define quality attributes for historian data.
• Partner with OT engineering, cybersecurity, data platform and infrastructure teams to design secure, compliant OT data flows and review solution designs and vendor deliverables.
• Provide technical leadership, coach engineers and data modelers, lead design reviews and build knowledge assets, standards, templates and reference patterns.

Required profile

• Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Industrial Engineering, Information Systems or a related field; Master's preferred.
• At least 10 years of progressive experience in data modeling, data architecture, data engineering, industrial data platforms or OT/IT integration.
• Strong exposure to OT data sources such as historians, SCADA/DCS, condition monitoring, maintenance, reliability and production systems.
• Demonstrated experience defining enterprise data models, data standards, semantic layers, governance controls and scalable data product architectures.

Required skills

• OT data modeling and industrial data architecture
• Time-series data, historians, SCADA/DCS, events, alarms and tag structures
• Asset and location hierarchies, measurement models and semantic standardization
• OT-to-IT integration and enterprise data alignment
• Data product design, metadata, lineage and quality management
• Data governance, reference data, naming conventions and unit standardization