Manufacturing Data Architect

Vibotek LLC; Dallas (TX); On-site; USD 76,000 - 120,000; Full time

Job summary

A leading manufacturing technology firm in Dallas is seeking a skilled Manufacturing Data Architect to lead the design and governance of data architecture tailored to manufacturing operations. The candidate will collaborate across teams to ensure data solutions support real-time decision-making and optimization. Required qualifications include a relevant degree and over 10 years of experience in data architecture, particularly in manufacturing. Strong skills in cloud platforms and data modeling are essential, along with excellent communication abilities.

Qualifications

• 10+ years of experience in data architecture, preferably in a manufacturing environment.
• Strong understanding of MES, ERP, PLC, SCADA systems.
• Hands-on experience with modern data architecture tools.

Responsibilities

• Design and implement scalable, secure, and reliable data architectures.
• Collaborate with business stakeholders to translate manufacturing needs into data solutions.
• Ensure data quality and availability across manufacturing systems.

Skills

Data architecture design

Data modeling

ETL pipelines

Cloud platforms (Azure/AWS/GCP)

Manufacturing processes

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

Snowflake

Databricks

Azure Synapse

Job description

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 Details

Job Title: Manufacturing Data Architect
Location: Dallas
Rate: 95/hr on C2C max
Domain: Automotive

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.