A bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or a related field.
A relevant master's degree is an added advantage.
Professional certification in enterprise architecture, cloud architecture, data architecture or AI architecture is an added advantage.
At least eight (8) years of experience in data, software or solution architecture, including at least three (3) years designing AI, machine learning or advanced analytics solutions.
Demonstrated experience designing and delivering enterprise-scale data platforms and production machine learning solutions, including integration of analytical or AI services into operational applications. Relevant data-platform experience may include data lakes, lakehouses or data warehouses.
Practical experience designing cloud and hybrid architectures, including containerised deployment and API-led and event-driven integration, with the ability to assess technology choices and implementation trade-offs.
Experience in financial services, banking, fintech, telecommunications or another highly regulated industry.
Application deadline9 Nov 2026
GK
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