Job Description

Data Modeling & Taxonomy Development:

• Design and maintain logical and physical data models for the UNS, including hierarchical topic structures, metadata schemas, and contextual relationships.
• Apply ISA-95 and other relevant standards to ensure consistency across equipment, processes, and enterprise functions.
• Model real-time data using Sparkplug B or similar protocols for semantic interoperability.

Namespace Governance:

• Define and enforce naming conventions, tag standards, and data object hierarchies within the UNS.
• Manage changes to data models in collaboration with IT/OT stakeholders, ensuring alignment with data governance policies.

Cross-Functional Collaboration:

• Work closely with automation engineers, IT teams, data scientists, business analysts, and manufacturing personnel to translate operational requirements into semantic data models.
• Serve as the subject matter expert for contextual data structuring in MQTT-based architectures .

Quality & Optimization:

• Monitor and ensure data integrity, consistency, and completeness across all layers of the namespace.
• Recommend improvements for namespace performance, usability, and scalability.

Documentation & Training:

• Maintain comprehensive documentation of models, metadata, and semantic structures.
• Provide training and ongoing support to teams utilizing data from the UNS.

Required Skills & Experience:

• Proven experience as an Information Architect or Data Modeler , particularly in building and documenting semantic data models.
• Strong understanding of MQTT , Unified Namespace (UNS) , and related technologies including Sparkplug B .
• Hands-on experience with SCADA , MES , ERP , and cloud data integration.
• Experience in the manufacturing operations management domain (Maintenance, Production, Quality, Logistics).
• Expertise in object-oriented data modeling , namespace design, and metadata management.
• Familiarity with ISA-95 or other industrial data standards.

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