Job Title –
Industry 4.0 – Enterprise Architect
Management Level: 06 – Senior Manager
Location: Mumbai/ New Delhi/Bangalore
Must have skills:
Industrial IoT, Data Analytics, Cloud Platforms, Manufacturing Execution Systems (MES)/SCADA
Good to have skills:
Digital Twin concepts and platforms, AI/ML model deployment and MLOps
Job Summary:
As a Solution Architect for Industry 4.0, you will be the crucial link between business problems and technology solutions. You will be responsible for designing end-to-end architectures that integrate client’s Operational Technology (OT) with Information Technology (IT) landscape , enabling data-driven decision-making, automation, and innovation on the factory floor and across the manufacturing & engineering value chain. You will work closely with clients, business stakeholders, engineers, and data scientists to create scalable, secure, and robust solutions.
Roles & Responsibilities:
Solution Design & Architecture:
- Lead the design and development of end-to-end Industry 4.0 solution architectures, including IoT platforms, data pipelines, cloud infrastructure, and user applications.
- Create detailed architectural blueprints, diagrams, and documentation (e.g., using UML, ArchiMate).
- Define technology standards, tools, and platforms for Industry 4.0 initiatives.
- Design solutions that incorporate key Industry 4.0 pillars: IoT/IIoT, MES , Big Data & Analytics, AI/ML, Automation & Robotics, Cloud Computing, and Cybersecurity.
- Technical Leadership & Strategy:
- Collaborate with business development and product management to understand client needs and translate them into technical requirements and visionary solutions.
- Provide technical leadership and guidance to development teams throughout the project lifecycle.
- Evaluate and select appropriate technologies, hardware, and software vendors.
- Stay abreast of emerging trends and technologies in Industry 4.0 and assess their applicability to our business.
- Stakeholder Engagement:
- Act as a trusted advisor to both clients and internal stakeholders, effectively communicating complex technical concepts to non-technical audiences.
- Lead architecture review boards and technical workshops.
- Develop and present proof-of-concepts (PoCs) and prototypes to demonstrate feasibility and value
Professional & Technical Skills:
- Bachelor’s or master’s degree in computer science, Engineering, Information Systems, or a related field.
- 10+ years of experience in software/systems architecture, design, and development.
- Proven experience (5+ years) in architecting and delivering solutions in at least two of the following Industry 4.0 domains:
- Industrial IoT (IIoT): Hands-on experience with IIoT platforms (e.g., AWS IoT SiteWise, Azure IoT Hub, PTC ThingWorx, Historians), sensor data, edge computing, and protocols (e.g., OPC UA, MQTT, Modbus).
- Data & Analytics: Expertise in designing data lakes, data warehouses, and real-time streaming pipelines (e.g., using Kafka, Spark). Experience with time-series databases and data visualization tools (e.g., Grafana, Power BI, Tableau).
- Cloud Platforms: Deep hands-on experience with cloud providers (AWS, Azure, or GCP) and their relevant IoT, AI, and data services.
- Manufacturing Execution Systems (MES)/SCADA: Understanding of shop floor systems, PLCs, and their integration with IT systems.
- Strong understanding of cybersecurity principles specific to OT/IT environments (e.g., IEC 62443, NIST frameworks).
- Proficiency in software development methodologies (Agile, DevOps) and familiarity with programming/scripting languages (e.g., Python, Java, C#, SQL).
Additional Information:
Relevant certifications (e.g., AWS/Azure Solution Architect Professional, TOGAF, CISSP).
- Experience with Digital Twin concepts and platforms.
- Knowledge of AI/ML model deployment and MLOps practices.
- Familiarity with manufacturing processes and lean principles.
- Experience in consulting or client-facing role
About Our Company | Accenture,
Experience:
Minimum 13 years of relevant experience is required
Educational Qualification:
Bachelor’s or master’s degree in computer science, Engineering, Information Systems, or a related field
