Principal Specialist, Data Modeling & Arch (OT)
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Key skills for this role
About the Role
Architect operational technology data models, ensuring integration with enterprise analytics, while defining standards and collaborating with engineering teams for reliable data.
Key Skills for This Role
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Job Purpose
The Principal Specialist, Data Modeling & Architecture (OT) is the architectural authority for modeling operational technology (OT) and industrial data, ensuring consistent representation of assets, events, measurements, and production contexts across plants, sites, and operational systems.
The role enables trusted OT analytics by defining standard models that align historians, SCADA/DCS, condition monitoring, and maintenance data with enterprise IT data products.
The position ensures OT constraints such as high-volume time-series data, latency requirements, site variability, and intermittent connectivity are addressed through practical modeling patterns, semantic consistency, and governance-by-design across OT-to-IT integration.
Key Accountabilities
- Define OT data modeling standards for time-series, events, alarms, and asset hierarchies to support operational analytics and reliability use cases.
- Establish canonical OT concepts (asset, tag, measurement, work order linkage, location hierarchy) and ensure consistent adoption across sites and solutions.
- Architect OT-to-IT data alignment patterns that map operational measurements to enterprise entities for cross-domain reporting and performance analysis.
- Ensure OT models account for historian characteristics (high frequency, compression, interpolation, quality flags) and streaming ingestion patterns.
- Design scalable schemas for curated OT layers and OT data products, including auditability, lineage, and quality attributes.
- Partner with OT engineering, cyber/security, and platform teams to ensure secure, segmented, and compliant design for OT data flows.
- Review OT data solution designs and vendor deliverables; provide design authority to resolve modeling trade-offs and ensure long-term maintainability.
- Define reusable patterns for site onboarding and variability handling (naming normalization, tag mapping, unit standardization, reference data).
- Coach engineers and modelers on OT semantics and modeling best practices; lead design reviews for critical OT initiatives.
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