About The Role
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 & AnalyticsExpertise 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 PlatformsDeep hands-on experience with cloud providers (AWS, Azure, or GCP) and their relevant IoT, AI, and data services.Manufacturing Execution Systems (MES)/SCADAUnderstanding 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
Qualification
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
