Solution Architect
Listed on 2026-07-17
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IT/Tech
Systems Engineer
Job Purpose and Accountabilities
To own, shape and assure end‑to‑end solution architecture and decisions within a clearly defined business or technology domain, accountable for decision quality, risk posture, and long‑term sustainability of outcomes. The Solution Architect operates as a domain‑aligned, decision‑owning leader, partnering with CIO, Product and Engineering leadership to balance delivery speed, operational resilience, regulatory compliance, cost efficiency and architectural integrity. They act as a Key Change Role within the delivery and governance framework, accountable for architectural outcomes and their governance, playing a material role in enterprise‑level operating‑model evolution, standardisation and capability uplift.
Job accountabilities include design and delivery of domain solutions; ownership of material architectural decisions such as technology selection, integration patterns, data flows and non‑functional trade‑offs; ensuring solutions are delivery‑feasible, operationally viable and economically sound; acting as the primary decision authority for solution‑level architecture; leading targeted workload placement and platform strategy; ensuring solutions meet security, resilience and regulatory expectations; managing cost, investment and value;
championing standardisation and capability evolution; partnering with Engineering and Operations leaders; providing governance inputs and representing the domain architecture position in senior forums; and operating as a senior leader within the domain and architecture community.
- Business Process re‑engineering – Analyse business processes and workflows within the organisation and identify new approaches to redesign business activities or optimise performance, quality and speed of services or processes. This includes exploring automation, streamlining processes, evaluating costs and benefits, and managing change‑management activities and resources.
- Cost‑Benefit Analysis (CBA) – Knowledge of the principles and tools used in cost‑benefit analysis; ability to analyse the purpose and scope of a producer, product, process or project in terms of cost and benefits.
- Data Modelling – Leverages advanced data tools and programming techniques to analyse highly complex data sets. Applies mathematical models, database and programming languages to accelerate analysis and derive insights from data.
- Infrastructure Engineering – Ability to design and build systems incorporating data centres, cloud, compute, networking, storage, operating systems and software components foundational to the operation of the bank. Delivers end‑user compute and communications systems supporting a global workforce and understands the interaction between technology infrastructure and software systems, operating models for delivery and operations, and reliability engineering.
- Innovation – Understands the value of innovation, AI and tooling, and knows how to deliver new ideas and initiatives that improve performance, despite challenges or setbacks.
- IT Governance – Knowledge of the accountability framework and processes used to encourage proper behaviour in IT activities and operations; ability to implement IT systems and controls to meet business needs and requirements.
- Requirements Analysis – Knowledge of tools, methods and techniques of requirement analysis; ability to elicit, analyse and record required business functionality and non‑functionality requirements to ensure the success of a system or software development project.
- Scrum Software Development – Knowledge of the principles, components and features of scrum methodology and ability to apply this methodology to manage software product development processes.
- Security System – Knowledge of security systems and ability to apply various security practices, methods and regulations to resolve security issues related to individuals, facilities and the manufacturing environment.
- Systems Design Modelling – Modelling of the logical system design for a system, including software components and interfaces; may involve the use of modelling techniques such as UML, C4 or equivalent.
- Enterprise‑scale Architectural…
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