Job Description

Job Category: Manufacturing - Engineering
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Job Summary:
We are seeking a technically skilled and detail-oriented Smart Factory Architect Connectivity Engineer to lead the data modeling. This role ensures seamless data flow enabling real-time visualization, simulation, and optimization of manufacturing processes.
Key Responsibilities:

• Factory Floor Integration:

Architect and deploy batch real-time data pipelines
Design secure, scalable serverless data platforms for structured and unstructured data
Develop Infrastructure-as-Code
Manage GCP environments, IAM policies, VPC networking, cost controls, and hybrid connectivity
Build AI/ML workflows
Integrate semantic search frameworks with vector databases
Implement RAG (Retrieval-Augmented Generation) pipelines to enhance LLM outputs
Lead enterprise initiatives as a technical advisor, collaborating with stakeholders across engineering, security, legal, and business units
Mentor junior engineers and establish best practices in data governance, observability, and AI infrastructure
Connect, configure, and manage data collection from factory monitoring systems
Deploy and manage edge devices or industrial gateways for real-time data acquisition and preprocessing
IT/OT Convergence:

• Work with IT teams to integrate shop floor data
• Design and implement secure communication between operational technology (OT) and IT infrastructure.

• Digital Twin Enablement:

• Enable real-time data feeds to digital twin platforms by mapping physical assets to their digital counterparts.
• Collaborate with analytics teams to ensure data fidelity and synchronicity.

• Data Pipeline Development:

• Develop and maintain data pipelines for high-frequency streaming data using platforms such as Kafka, Azure IoT Hub, AWS IoT Core, or similar.
• Ensure data integrity, latency optimization, and historical traceability.

• Cybersecurity and Compliance:

• Implement and enforce cybersecurity protocols for data exchange across OT and IT domains.
• Support compliance with relevant industry standards (e.g., ISA/IEC 62443, NIST).

• Continuous Improvement:

• Analyze system performance and recommend connectivity or architecture improvements.
• Contribute to the broader digital transformation roadmap for the manufacturing enterprise.

Qualifications:

• Bachelor's or Master's in Electrical Engineering, Mechatronics, Computer Engineering, Industrial Engineering, or related field.
• 3+ years in industrial automation, controls, or manufacturing IT/OT systems integration.
• Experience with industrial protocols (OPC UA, Modbus, EtherNet/IP, Profibus, etc.).
• Familiarity with SCADA, MES, and IIoT platforms (e.g., Ignition, Siemens MindSphere, PTC ThingWorx, GE Predix).
• Proficiency in data integration tools and scripting languages (e.g., Python, Node-RED, SQL).
• Understanding of cloud platforms and digital twin technologies (e.g., Siemens Teamcenter, Ansys Twin Builder, Azure Digital Twins).
• Strong troubleshooting, documentation, and communication skills.

Preferred:

• Experience with edge computing solutions (e.g., Azure IoT Edge, AWS Greengrass, Siemens Industrial Edge).
• Knowledge of cybersecurity in industrial environments.
• Exposure to Industry 4.0 frameworks and smart manufacturing systems.

TRAVEL TIME REQUIRED

• 25%

About the Team:
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

Skills Required