Industrial Data Architect: Real-Time Manufacturing Insights
Net2Source (N2S)
Dallas (TX)
On-site
USD 100,000 - 130,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
Net2Source (N2S) is looking for a Manufacturing Data Architect based in Dallas, Texas. This role involves designing and implementing enterprise-scale data architecture for manufacturing and optimizing data pipelines from IIoT devices, PLCs, and ERP systems. The ideal candidate should have over 7 years of experience in data architecture, strong knowledge of Databricks and AWS services, and prior experience in manufacturing environments. This position aims to enhance real-time visibility and predictive analytics across operations.
Qualifications
7+ years of experience in data architecture, data engineering, or industrial data solutions.
Strong experience in manufacturing, industrial, or smart factory environments.
Hands-on experience with Ignition for industrial data connectivity.
Responsibilities
Design and implement enterprise-scale data architecture for manufacturing.
Build and optimize data pipelines from IIoT devices and ERP systems.
Architect and manage cloud-based data solutions using AWS and Databricks.
Skills
Data architecture
Data engineering
Manufacturing environments
Databricks
AWS services
SQL
Python
Spark
Education
Bachelor’s degree in Computer Science, Information Systems, or related field
Tools
Databricks
AWS
Ignition
Power BI
Tableau
Job description
Net2Source (N2S) is looking for a Manufacturing Data Architect based in Dallas, Texas. This role involves designing and implementing enterprise-scale data architecture for manufacturing and optimizing data pipelines from IIoT devices, PLCs, and ERP systems. The ideal candidate should have over 7 years of experience in data architecture, strong knowledge of Databricks and AWS services, and prior experience in manufacturing environments. This position aims to enhance real-time visibility and predictive analytics across operations.