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

Valuable 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.
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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.

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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:
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- 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

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