Industrial UNS Data Modeller

Cosqube; Georgetown (KY); Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a skilled Unified Namespace Data Modeler to enhance data flow within its enterprise architecture. This role is pivotal in designing and maintaining data models that support real-time analytics and decision-making. The ideal candidate will work closely with operations, data engineering, and automation teams to ensure data is structured consistently across systems. If you have a passion for data integrity and optimization, this is an exciting opportunity to make a significant impact in a dynamic environment.

Qualifications

• Experience in data modeling and taxonomy development for industrial data.
• Strong understanding of MQTT and Unified Namespace architectures.

Responsibilities

• Develop and maintain data models for the Unified Namespace.
• Collaborate with cross-functional teams to ensure data integrity.

Skills

Data Modeling

MQTT

Unified Namespace

Quality Assurance

Logistics Operations

Production Management

Maintenance Management

Job description

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Location: Georgetown, KY, Remote, approximately 25% travel to the client site

Mandate Skills:

Manufacturing: Maintenance, Production, Quality, Logistics Operations

MQTT & Unified Namespace

We are seeking an experienced Unified Namespace (UNS) Data Modeler to design, structure, and maintain data models supporting real-time, contextualized data flow within our enterprise-wide UNS architecture. The role involves defining how industrial data is represented, named, and organized to enable seamless integration across OT and IT systems, supporting analytics, automation, and decision-making.

This position requires working at the intersection of operations, data engineering, and industrial automation to ensure data from machines, processes, and systems is structured semantically and consistently across the enterprise.

Responsibilities include:

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

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology

Industries: IT Services and IT Consulting

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