A solutions architect for Industry 4.0 develops, designs, and oversees the implementation of scalable, reliable, and secure solutions. These systems leverage emerging technologies like the Industrial Internet of Things (IIoT), AI / ML, and cloud computing to improve efficiency, productivity, and decision-making for manufacturing operations. This role translates business requirements into technical blueprints, manages technology integration, and provides technical leadership throughout a project's lifecycle.
Overview
Overview is focused on driving Industry 4.0 initiatives by translating business needs into technical architectures and leading cross-functional delivery across OT/IT domains.
Key Responsibilities
- Solution Architecture & Design
- Develop comprehensive architectural designs for Industry 4.0 solutions, including system blueprints, data flows, and integration diagrams.
- Architect solutions that leverage IIoT, digital twins, predictive maintenance, and real-time analytics to optimize manufacturing and operational processes.
- Ensure all designs comply with enterprise architecture standards and cybersecurity requirements, safeguarding data and system integrity.
- Technology Evaluation and Selection
- Continuously research emerging technologies and recommend the most suitable technology stack, hardware, and integration frameworks.
- Align technology choices with client requirements and strategic business objectives, ensuring scalability and future-readiness.
- OT / IT Integration
- Oversee the seamless integration of operational technology (OT) systems such as PLCs and SCADA with information technology (IT) systems like MES, ERP, and cloud platforms.
- Facilitate interoperability between shop-floor automation and enterprise-level systems to enable data-driven decision-making.
- Stakeholder Collaboration
- Work closely with business leaders, engineering teams, and operations staff to gather requirements and translate business needs into technical solutions.
- Ensure that proposed solutions are aligned with the clients business goals and operational realities.
- Technical Leadership
- Provide guidance and mentorship to development teams during solution implementation.
- Conduct technical deep-dives to resolve complex issues and ensure solutions meet high standards for performance, security, and scalability.
- Project Delivery & Execution
- Lead the technical delivery of Industry 4.0 projects from concept through deployment.
- Collaborate with cross-functional teams, including OT, IT, data engineering, and business stakeholders, to ensure successful implementation of smart factory and digital transformation initiatives.
- Ensure all solutions comply with relevant regulatory standards (e.g., 21 CFR Part 11, GAMP 5) and industry best practices.
- Client Engagement & Advisory
- Act as a trusted advisor to clients, translating business challenges into actionable technical solutions.
- Conduct workshops, technical assessments, and roadmap planning sessions to guide clients through their digital transformation journey.
- Support pre-sales activities, including responding to RFPs / RFIs and delivering solution demonstrations.
- Innovation & Best Practices
- Stay up-to-date with the latest advancements in IIoT, AI, cloud computing, and other Industry 4.0 technologies.
- Contribute to the development of reusable frameworks, reference architectures, and accelerators to drive innovation and efficiency.
- Risk Assessment
- Identify potential risks and impacts associated with solution implementation.
- Develop and implement mitigation strategies to ensure project success and minimize disruptions.
- Documentation and Governance
- Create and maintain detailed architectural documents throughout the project lifecycle.
- Contribute to the development and enforcement of IT / OT governance frameworks to ensure consistent and secure operations.
Essential Skills and Qualifications
- Education & Experience
- Bachelors or Masters degree in Engineering, Computer Science, Automation, or a related field.
- At least 15+ years of experience in manufacturing operations management, digital manufacturing, or industrial automation.
- Technical Expertise
- Deep understanding of industry standards such as ISA-95, ISA-88, GMP / GxP, and manufacturing IT systems.
- Strong knowledge of OT technologies, including MES, SCADA, PLC, and HMI.
- Proficiency in cloud platforms (Azure, AWS etc).
- Proficiency in low-code, no-code Industry 4.0 platforms (Ignition, ThingWorx, Tulip etc.).
- Familiarity with industrial protocols (OPC UA, MQTT) and edge computing technologies.
- Experience with data architecture, including SQL, NoSQL databases, and real-time data streaming (e.g., Kafka).
- Understanding of IT / OT network fundamentals, microservices, APIs, and cybersecurity principles.
- Familiarity with latest technologies such as GenAI, Agentic AI in the context of Industry 4.0.
- Manufacturing Domain Knowledge
- Solid understanding of manufacturing operations, including production planning, scheduling, and quality management processes.
- Analytical Mindset
- Strong problem-solving and analytical skills to break down complex business problems and translate them into structured technical solutions.
- Soft Skills
- Excellent communication, negotiation, and stakeholder management skills for effective interaction with diverse technical and non-technical teams.
- Ability to lead cross-functional teams and present technical concepts to clients and stakeholders.
- Certifications (Preferred)
- Certifications such as Azure / AWS Solutions Architect and TOGAF or equivalent enterprise architecture certification are highly desirable.