Ignition Architect

The Ignition Architect position is a senior individual contributor responsible for designing, integrating, and scaling industrial automation, SCADA, and manufacturing data systems across manufacturing operations. This role operates at the intersection of controls engineering, Ignition SCADA/MES, enterprise data platforms, cloud and on-prem infrastructure, and applied machine learning, providing technical leadership and architectural direction without direct people management.

The SCADA Architect serves as a technical authority and escalation point for complex automation, data and infrastructure challenges, driving standardization, reliability, and long-term scalability across plant-floor and enterprise systems.

• Design and maintain end-to-end automation architectures spanning PLCs, drives, motion systems, and safety-critical control environments
• Develop scalable control strategies for high-speed and continuous manufacturing processes
• Define standards and best practices for control system design, versioning, testing, and lifecycle management

• Architect, support, and evolve SCADA and MES platforms, with deep expertise in Ignition-based systems
• Design and maintain tag models, historian strategies, alarming frameworks, and visualization standards
• Ensure high availability, performance, and maintainability of plant-floor data systems
• Establish consistent data models and interfaces between SCADA/MES and enterprise analytics platforms
• Deep knowledge of the Ignition Web Dev Module, developing and publishing REST APIs, and building and documenting OpenAPI 3.0.0 specifications. Hands‑on experience with load balancers such as NGINX.

• Integrate plant-floor systems with enterprise databases and analytics platforms, including Snowflake
• Design and support secure OT/IT data pipelines leveraging AWS services and hybrid architectures
• Collaborate with infrastructure teams supporting cloud and on-prem platforms, including AWS ,Nutanix-based and VMWARE-based environments
• Support Linux-based edge systems, containerized services, and automation-related infrastructure
• Align automation systems with enterprise security, networking, and infrastructure standards

• Provide hands‑on database administration (Post Gres, MsSQL) for manufacturing and automation systems, including schema design, performance tuning, backup/recovery, and data integrity
• Support operational reliability of relational databases used by SCADA, MES, and analytics workloads
• Partner with IT and data teams to ensure manufacturing data is accurate, accessible, and governed

• Design and deploy edge AI and machine learning inference pipelines for manufacturing use cases such as anomaly detection, predictive quality, and process optimization
• Develop and maintain Python-based services for data processing, feature extraction, and model inference
• Ensure AI-enabled solutions meet real‑time, latency, reliability, and operational constraints of industrial environments

• Serve as a technical escalation point for complex automation, data, performance, and integration issues
• Lead technical design reviews and influence platform, architecture, and vendor decisions
• Mentor engineers and provide guidance on advanced automation, SCADA, data, and edge AI topics
• Translate manufacturing, quality, and operational requirements into scalable, supportable technical solutions
• Drive continuous improvement initiatives that increase system uptime, data reliability, and operational efficiency

• Bachelor’s degree in Electrical…