Manufacturing Data Architect for Real-Time Ops & IoT

Job Summary We are seeking a highly skilled and experienced Manufacturing Data Architect to lead the design, development, and governance of enterprise-level data architecture tailored to manufacturing operations. The ideal candidate will collaborate with cross-functional teams—including operations, engineering, IT, and analytics—to ensure that data solutions support real-time decision-making, production optimization, and digital transformation across the manufacturing value chain. Job Title: Manufacturing Data Architect Location: [Dallas ] Rate: 95/hr on C2C max Automotive domain Job Summary We are seeking a highly skilled and experienced Manufacturing Data Architect to lead the design, development, and governance of enterprise-level data architecture tailored to manufacturing operations. The ideal candidate will collaborate with cross-functional teams—including operations, engineering, IT, and analytics—to ensure that data solutions support real-time decision-making, production optimization, and digital transformation across the manufacturing value chain. ⸻ Key Responsibilities Design and implement scalable, secure, and reliable data architectures to support manufacturing systems (MES, SCADA, ERP, etc.). Define data modeling standards, data governance policies, and data integration strategies across manufacturing processes. Collaborate with business stakeholders and IT to translate manufacturing needs into robust data solutions. Lead data platform initiatives using technologies like Azure/AWS/GCP, Snowflake, Databricks, SAP, and others. Integrate IoT/IIoT data sources, sensors, and machine data into enterprise data platforms. Develop and maintain a comprehensive data architecture blueprint and documentation. Ensure data quality, consistency, and availability across manufacturing and supply chain systems. Work with data engineers, analysts, and scientists to support predictive maintenance, quality analytics, and real-time performance monitoring. Stay up to date with emerging trends in Industry 4.0, smart factories, and data architecture best practices. ⸻ Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Industrial Engineering, or related field. Proven experience (10 + years) in data architecture, preferably in a manufacturing or industrial environment. Strong understanding of manufacturing processes, systems (MES, ERP, PLC, SCADA), and shop floor data sources. Proficiency in data modeling, ETL pipelines, cloud platforms, and integration tools. Hands-on experience with modern data architecture tools (e.g., Snowflake, Databricks, Azure Synapse). Strong knowledge of data governance, master data management (MDM), and security protocols. Excellent communication and stakeholder management skills. ⸻ Preferred Skills Experience with Industry 4.0, digital twins, and smart manufacturing. Familiarity with manufacturing KPIs, lean principles, and continuous improvement. Certifications in cloud platforms (Azure, AWS, GCP) or data architecture frameworks. #J-18808-Ljbffr Vibotek LLC