This role establishes the data modeling and architecture foundation for Operational Technology (OT) and industrial data across plants, sites, and operational systems. It enables trusted OT analytics by standardizing how assets, tags, events, alarms, measurements, production contexts, historians, SCADA/DCS, condition monitoring, and maintenance data are represented, governed, and aligned with enterprise IT data products.
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What You Will Deliver
- Define enterprise OT data modeling standards for time-series data, events, alarms, assets, tags, measurements, and production contexts.
- Establish canonical OT concepts including asset hierarchy, location hierarchy, tag naming, measurement definitions, and work order linkage.
- Design scalable data schemas for curated OT layers and reusable OT data products with auditability, lineage, and quality attributes.
- Ensure modeling patterns address high-volume industrial data, latency requirements, site variability, and intermittent connectivity.
- Architect OT-to-IT data alignment patterns that connect operational measurements with enterprise entities for reporting and analytics.
- Align historians, SCADA/DCS, condition monitoring, maintenance, reliability, and production data with enterprise data products.
- Define integration rules for tag mapping, unit standardization, reference data, semantic consistency, and cross-site normalization.
- Embed governance-by-design into OT data models, including ownership, metadata, lineage, quality rules, and lifecycle controls.
- Partner with OT engineering, cybersecurity, data platform, and infrastructure teams to design secure and compliant OT data flows.
Minimum Qualifications
- Bachelor’s Degree in Computer Science, Computer Engineering, Data Engineering, Industrial Engineering, Information Systems, or a related discipline. Master’s Degree is preferred.
Experience
- Minimum 10 years of progressive experience in data modeling, data architecture, data engineering, industrial data platforms, or OT/IT integration.
- Strong exposure to operational technology 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.
Skills That Matter
- OT data modeling and industrial data architecture
- Time-series data, historians, SCADA/DCS, events, alarms, and tag structures
- Asset hierarchy, location hierarchy, measurement models, and semantic standardization
- OT-to-IT integration and enterprise data alignment
- Data product design, curated data layers, metadata, lineage, and quality management
- Data governance, reference data, naming conventions, and unit standardization
- Streaming ingestion, high-volume data handling, and scalable schema design
- Industrial cybersecurity awareness and secure OT data flow design
- Architecture review, stakeholder collaboration, coaching, and technical documentation
Benefits
- Career Growth
- Competitive Salaries
- Comprehensive Package
- Inclusive Work Environment
- Work-Life Balance
- Employee wellness
Location
Riyadh, Saudi Arabia
Position Type
Full time
