Senior Solution Architect – Smart city – Saudi

Senior Solution Architect – Smart city – Saudi – Hybrid/Remote

Day rate: £600 – £800 (inside IR35)

Duration: 6 months

Start: ASAP

Paid travel to Saudi

The Senior Solution Architect is responsible for the development and review of solution

architectures. The role comprises the solution architecture models, policies, rules, and standards

that govern the collection, storage, arrangement, integration, and use of data

Responsibilities are as follows:

• Technology design, state capturing, and development planning.
• Feasibility study and decisions on technology directions.
• Working with product manager to shape up product and technology roadmap.
• Help clients understand their desired solutions in the context of existing systems and architecture,

including software structure, characteristics, behaviour, and data flow.

• Work with product manager to conduct discovery and service design.
• Perform systems integration, solution modelling, benefit analysis, and assessment of system

behaviour. Skills required are as follows:

• Excellent verbal and written communication skills
• Experience in designing, developing, deploying, and procuring software for distributed systems.
• Broad knowledge of software design, architecting, development, and software testing

methodologies.

• Experience in general purpose programming languages such as C/C++, JAVA, C#, JavaScript and

Python.

• Experience with RESTful API development.
• Experience working with DevOps practices, Git version control, and agile development approaches.

Experience using the Collective Code Construction Contract (C4) approach is preferred.

• Experience and knowledge of IoT communication and management protocols.
• Experience and knowledge of data pipelining, data processing and governance.
• Experience and knowledge of streaming architecture and patterns.
• Experiences with major cloud platforms such as AWS, Azure, GCP, OCI, and HuaWei

Understanding of information and application security concepts, including public key infrastructure,

data confidentiality and integrity practices, certificate-based authentication, network security, open

ID connect (OIDC), social engineering, zero trust architecture, security posture management, and

multifactor authentication.

• Understanding of big data processing, data pipeline, machine learning, and AI processing methods.
• Broad knowledge of release and configuration management and infrastructure-as-code practices in
• both internal and cloud hosted environments is preferred