OT Data Modeling & Architecture Lead

Maaden; Riyadh; On-site; SAR 300,000 - 500,000; Full time

Job summary

Maaden is seeking a Principal Specialist, Data Modeling & Architecture (OT) to lead OT data modeling and cross-domain data alignment across plants and sites. You will set standards for time-series data, events, alarms, and asset hierarchies, and ensure secure, compliant OT data flows into enterprise analytics.

The ideal candidate brings 10–15 years in data modeling/architecture with hands-on OT/industrial data experience, and a strong governance mindset to enable reliable analytics across the

Qualifications

• Bachelor’s degree in Computer Science/Engineering, Industrial Engineering, Data Engineering, or related field.
• Master’s degree preferred; OT/industrial systems background is an advantage.

Responsibilities

• Define OT data modeling standards for time-series, events, alarms, and asset hierarchies.
• Establish canonical OT concepts (asset, tag, measurement, work order linkage, location hierarchy).
• Architect OT-to-IT data alignment patterns for cross-domain reporting and performance analysis.
• Ensure OT models account for historian characteristics (high frequency, compression, interpolation, quality flags).
• Design scalable schemas for curated OT layers and OT data products with auditability and lineage.
• Partner with OT engineering, cyber/security, and platform teams to ensure secure, compliant data flows.
• Review OT data solution designs and vendor deliverables; provide design authority on trade-offs.
• Define reusable patterns for site onboarding and variability handling (naming normalization, unit standardization).
• Coach engineers and modelers on OT semantics and modeling best practices.

Skills

OT data modeling

Enterprise analytics

OT/IT data integration

Education

Bachelor's degree

Master's degree

Job description

Maaden is seeking a Principal Specialist, Data Modeling & Architecture (OT) to lead OT data modeling and cross-domain data alignment across plants and sites. You will set standards for time-series data, events, alarms, and asset hierarchies, and ensure secure, compliant OT data flows into enterprise analytics.

The ideal candidate brings 10–15 years in data modeling/architecture with hands-on OT/industrial data experience, and a strong governance mindset to enable reliable analytics across the