Senior Specialist, Data Modeling and Architecture (OT)

Job description

The Principal Specialist establishes the data modeling and architecture foundation for Operational Technology (OT) and industrial data across plants, sites, and operational systems. This enables trusted OT analytics by standardizing representation, governance, and alignment of assets, tags, events, alarms, measurements, production contexts, historians, SCADA/DCS, condition monitoring, and maintenance data with enterprise IT data products. Defines enterprise OT data modeling standards for time‑series data, events, alarms, assets, tags, measurements, and production contexts. Establishes canonical OT concepts such as asset hierarchy, location hierarchy, tag naming, measurement definitions, and work order linkage. Designs scalable data schemas for curated OT layers and reusable OT data products with auditability, lineage, and quality attributes. Ensures modeling patterns address high‑volume industrial data, latency requirements, site variability, and intermittent connectivity. Architects OT‑to‑IT data alignment patterns that connect operational measurements with enterprise entities for reporting and analytics. Aligns historians, SCADA/DCS, condition monitoring, maintenance, reliability, and production data with enterprise data products. Defines integration rules for tag mapping, unit standardization, reference data, semantic consistency, and cross‑site normalization. Supports cross‑domain analytics by making OT data usable for reliability, production performance, safety, sustainability, and cost insights. Embeds governance‑by‑design into OT data models, including ownership, metadata, lineage, quality rules, and lifecycle controls. Defines quality attributes for historian data, including compression, interpolation, quality flags, sampling frequency, and streaming patterns. Establishes reusable governance patterns for site onboarding, data standardization, naming conventions, and master/reference data alignment. Ensures OT data products are traceable, reliable, maintainable, and aligned with platform architecture standards. Partners with OT engineering, cybersecurity, data platform, and infrastructure teams to design secure and compliant OT data flows, respecting segmentation, access control, operational resilience, and industrial cybersecurity requirements. Reviews solution designs, data models, vendor deliverables, and integration approaches to ensure architectural consistency. Provides technical leadership, coaching, and knowledge transfer on advanced OT concepts

Requirements

• Cybersecurity
• Compliance

Skills