Data Modeler || Remote

  • Posted 3 hours ago | Updated 3 hours ago

Overview

Remote
Hybrid
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 7+ MONTHS

Skills

Object-Oriented Programming
Logistics
Manufacturing Operations Management
Data Integration
SCADA
MES
Enterprise Resource Planning
Cloud Computing
Oracle Linux
Data Modeling
Taxonomy
Real-time
Management
Data Governance
Collaboration
Manufacturing
MQTT
Optimization
Data Integrity
Usability
Scalability
Communication
Documentation
Meta-data Management
Semantics
Training

Job Details

Skills (EXPERT/ADVANCED/NONE):
Information Architect - IT/OT systems, data modeling: models, metadata, semantic structures,
Object Oriented - Namespace design, data modeling, Unified Namespace
Manufacturing: Maintenance, Production, Quality, Logistics Operations
MQTT & Unified Namespace - Familiarity and/or experience

Questions (must reply YES to #1-5):

  1. Have you worked as an information architect, building and documenting semantic data models?
  2. Do you have an understanding of MQTT and related technologies, including SparkplugB?
  3. Do you have experience working in manufacturing operations management domain?
  4. Are you familiar with data integration concepts across SCADA, MES, ERP and cloud?
  5. Are you able to start work at 7:30am Central Time Monday-Friday, and travel ~1 week/month to a plant facility?


Deliverables:
Data Modeling & Taxonomy Development
o Develop and maintain logical and physical data models for the UNS, including hierarchical topic structures, metadata schemas, and contextual relationships.
o Apply ISA-95 and other standards to define consistent information models across equipment, processes, and enterprise functions.
o Model real-time data using Sparkplug B or similar protocols for semantic interoperability.
Namespace Governance
o Define and enforce naming conventions, tag standards, and data object hierarchies within the UNS.
o Collaborate with teams to define a process and manage changes to data models and ensure alignment with organizational data governance policies.
Cross-Functional Collaboration
o Work with automation engineers, IT, data scientists, business analysts and manufacturing personnel to translate operational needs into semantic models.
o Act as the subject matter expert for contextual data structuring in MQTT-based architectures.
Quality & Optimization
o Ensure data integrity, consistency, and completeness across all layers of the namespace.
o Recommend improvements to namespace performance, usability, and scalability.
Documentation & Communication
o Maintain comprehensive documentation of models, metadata, and semantic structures.
o Provide training and support to teams consuming data from the UNS.

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