Solution Architect
About Candidate
Introduction:
A highly skilled Solution Architect with over eight years of experience specializing in digital manufacturing, Industrial IoT, IT/OT integration, and data analytics. Proficient in designing and implementing scalable, secure, and efficient industrial systems, with a strong focus on Unified Namespace (UNS) architecture, MQTT communication, and governance frameworks. Experienced in developing real-time data exchange solutions, integrating SCADA, MES, and cloud infrastructure, and optimizing manufacturing operations. Adept at implementing cybersecurity protocols, compliance standards, and IT/OT architecture assessments to ensure secure and efficient data flow. Strong background in functional analysis, data modeling, and business intelligence using tools like Power BI, OSIsoft PI, and SQL. Skilled in deploying cloud-based solutions, edge computing, and industrial automation frameworks. Expertise in machine learning applications for predictive maintenance, energy optimization, and quality control, leveraging AI and deep learning techniques. Demonstrated ability to lead cross-functional teams, drive strategic technology initiatives, and enhance operational efficiency through innovative digital transformation strategies. Well-versed in Agile methodologies, project management, and stakeholder collaboration to align business objectives with technical solutions. Passionate about leveraging emerging technologies to optimize manufacturing processes, improve data-driven decision-making, and ensure seamless IT/OT convergence.
Responsibilities:
- Design and implement scalable Industrial IoT (IIoT) architectures, including Unified Namespace (UNS) and MQTT-based communication.
- Conduct IT/OT architecture assessments to enhance system integration and interoperability.
- Develop governance frameworks, security protocols, and compliance strategies aligned with NIS2 and GxP regulations.
- Lead the integration of SCADA, MES, cloud infrastructure, and edge computing for real-time data exchange.
- Optimize manufacturing operations through data analytics, machine learning, and predictive maintenance models.
- Implement cybersecurity standards and risk mitigation strategies for IT/OT environments.
- Design and develop functional and data models for business intelligence solutions using Power BI, OSIsoft PI, and SQL.
- Automate production monitoring systems and deploy Andon systems for real-time performance tracking.
- Conduct stakeholder workshops to align IT, OT, and business teams on digital transformation strategies.
- Manage cross-functional teams and ensure seamless IT/OT convergence for operational efficiency.
- Implement cloud-based solutions, including Azure IoT Hub and Edge, for industrial automation.
- Lead projects from design and prototyping to commissioning and validation in manufacturing environments.
- Develop AI-driven solutions for defect detection, energy optimization, and anomaly detection.
- Enhance real-time process monitoring using data visualization and reporting tools.
- Mentor and guide junior analysts and engineers in digital manufacturing initiatives.
- Drive continuous improvement initiatives using Lean Six Sigma methodologies.
- Support industrialization of new production lines and process automation strategies.
- Conduct materials analysis and research to improve manufacturing techniques and product quality.
- Design and deploy real-time location systems (RTLS) for process monitoring and efficiency improvements.