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IoT Architect

IoT, or the Internet of Things, is the technology of connecting any device to the Internet and to other connected devices. This can include smart sensors, phones, appliances, cameras, wearable technology, and cars. An IoT architect sorts through all the data transmitted between networks from the various machines and gadgets used every day by millions of people. IoT architects help organizations fix business problems by designing IoT solutions. They are also responsible for creating and communicating the IoT concept, message, and architecture.
Technical skills and programming skills

The technical skills required are varied. Proficiency in programming; data management; programming languages such as Java, Python, or CSS; embedded systems; network topologies; transport protocols; cloud computing; stream processing; analytics; and application development. An IoT architect cannot just rely on their technical skills, however.

Soft skills

They will be working closely with business leaders to resolve business problems, so soft skills (communication and leadership skills) are a must.

An IoT architect needs to stay up to date on IoT businesses, data governance, and good data practices to provide better security and performance in this advancing technological world. This is where professional organization membership and continuing education through courses and conferences are helpful.

An IoT architect position will require at least a bachelor’s degree in computer science, engineering, or information technology. Since this field is so new, those who have earned certificates or taken coursework will stand out to potential employers.
90.000 EUR per year

Other IOT professions

Solution Architect

Solution architects design or modify systems architecture to meet certain business needs.

Industrial Computer Engineer

A Computer Engineer, or Software Engineer, is responsible for designing computer systems, software and hardware applications.

Cloud Engineer

Cloud engineers are IT professionals who design, implement, and manage cloud-based systems for businesses.

AI Engineer

An AI engineer builds AI models using machine learning algorithms and deep learning neural networks to draw business insights, which can be used to make business decisions that affect the entire organization.

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