Iot Solution Architect

Description:

Mandatory skills

• At least 8~10 years of experience in solution architecture, with a strong focus on IT and OT integration.
• Proven experience in designing and implementing applications that leverage maintenance, production, and process data.
• Understanding of Industry standards (ISA 95 and Industry 4.0) and maintenance strategies of any Manufacturing or Industry sector.
• Application engineering having knowledge in Design, Development, Integration, Testing, Security, Access and others.
• Strong understanding of IT and OT systems including SCADA, PLCs, and Historians.
• Experience with data lake platforms and big data technologies.
• Proficiency in architectural frameworks, SDLC methodologies.
• Knowledge of data integration tools and techniques, including ETL processes.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their services.
• Experience with IoT technologies and protocols.
• Experience with AI/ML applications in maintenance management.
• Familiar in Network Topology / Database Server / Hosting components / Industrial communication protocols etc
• Good communication and coordination skills with internal and external stakeholders
• Ability to lead and mentor development and testing teams.

Key Responsibilities

• Drive workshops for requirement gathering, platform / application evaluation and product fitment assessment, understanding client business functions and operations, coordination with remote project teams, client management and technical document writing.
• Develop the overall architectural framework (high- and low-level design), data integration for the smart maintenance management application, ensuring integration between IT and OT systems.
• Design and implement strategies for integrating maintenance data, production data, and process data into the application, leveraging the data lake platform.
• Provide technical guidance and leadership to development and testing teams, ensuring adherence to best practices and architectural standards.
• Work closely with cross-functional teams, including data engineers, data scientists, and business analysts, to ensure the application meets business requirements and technical specifications.
• Develop prototypes and proof of concepts to validate architectural approaches and integrations. - Create detailed architectural documentation, including data flow diagrams, system interface specifications, and deployment plans.
• Oversee the testing process to ensure the application meets quality standards and performs reliably in real-world conditions.
• Stay abreast of the latest trends and technologies in IT and OT, recommending improvements and innovations to enhance the application and its architecture.