Data Architect

We are looking for a Data Architect to support manufacturing data initiatives for a contract position based in Illinois. This role will focus on designing scalable data architecture, shaping reliable data models, and enabling integration across operational and enterprise systems. The ideal candidate brings strong experience in structured data environments, governance practices, and modern data engineering tools to help build dependable, business-ready information assets.

Responsibilities:
• Design and maintain data architecture frameworks that support manufacturing operations, analytics, and enterprise reporting needs.
• Create and refine relational and manufacturing-focused data models to improve consistency, usability, and long-term scalability.
• Lead integration planning across business systems, operational technology platforms, and connected data environments.
• Establish governance standards for data quality, structure, ownership, and lifecycle management across critical datasets.
• Define and manage version-controlled master data practices to strengthen traceability and accuracy.
• Build and optimize data pipelines using technologies such as Python, Apache Spark, Apache Kafka, Hadoop, ETL processes, and SQL Server.
• Partner with technical and business stakeholders to translate operational requirements into practical architectural solutions.
• Support connectivity with manufacturing execution, historian, and recipe management platforms where applicable.
• Contribute to integration activities involving industrial tools such as iFix, WinCC, FactoryTalk, and PI Historian when required.

Qualifications:

• Proven experience designing server-based data architecture in complex business or industrial environments.
• Strong background in relational database design and data modeling, including manufacturing-related information structures.
• Hands-on expertise with systems integration and enterprise data flow design.
• Solid understanding of data governance principles, master data control, and version-managed data practices.
• Proficiency in Python, Apache Spark, Apache Hadoop, Apache Kafka, ETL development, and SQL Server.
• Experience working in manufacturing environments with exposure to operational technology data sources.
• Familiarity with manufacturing execution systems, historian platforms, or recipe management solutions is preferred.
• Knowledge of industrial or integration architecture concepts, including exposure to OT-connected environments, is a plus.

Compensation

$63.34-$73.34 Hourly

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