Enterprise · Solution · Security Architecture
Architecture at enterprise scale
27 years designing and delivering complex enterprise solutions across applications, data, integration, cloud, infrastructure, identity, AI and cyber security — from current-state assessment and option analysis through target architecture, technical decisions, governance and implementation support.
I am an architect first.
Security, governance and risk are architectural strengths that inform my designs — not the boundaries of my role.
Architecture in numbers
Architecture domains
My architecture work spans the full lifecycle: Discover → Define → Assess → Design → Decide → Govern → Deliver → Assure → Evolve.
Enterprise Architecture
Strategy translation, capability alignment, target states, transition architectures, roadmaps, architecture principles and portfolio-level governance.
ARCHITECTEDDELIVERED
Solution Architecture
End-to-end designs across application, data, integration, infrastructure and security domains with option analysis, non-functional requirements and Architecture Decision Records.
ARCHITECTEDDELIVERED
Data & Integration
Information flows, logical/physical models, API-first design, event-driven architecture, SCIM, SAML/OIDC, Kafka/AMQP, Azure Service Bus, hybrid and legacy integration.
ARCHITECTEDDELIVERED
Cloud & Platform
Azure landing zones, hybrid architectures, workload migration, identity, network, compute, containers, data platforms and platform services.
ARCHITECTEDDELIVERED
Security Architecture
SABSA · TOGAF · Zero Trust · identity · PAM · segmentation, cloud security, security-by-design and resilience.
ARCHITECTEDDELIVERED
AI Architecture
Azure OpenAI · Azure AI Search · Document Intelligence · Semantic Kernel · RAG · governed enterprise AI platforms with observability and control.
ARCHITECTEDDELIVERED
Architecture artefacts I produce
Architecture is demonstrated through artefacts, not adjectives. Every substantial engagement produces a defined artefact set:
Vision & Strategy
- Architecture Vision
- Business Capability Map
- Architecture Principles
- Technology strategy
Current & Target
- Current-State Architecture
- Target-State Architecture
- Transition Architecture
- Reference Architecture
Solution
- Solution Context Diagram
- Application Architecture
- Integration Architecture
- Deployment Architecture
Data
- Data Flow Diagram
- Logical Data Model
- Information classification
- Data governance controls
Security
- Trust Boundary Model
- Identity Architecture
- Threat Model
- Security control mapping
Governance
- Architecture Decision Records
- Non-Functional Requirements
- Technology Options Assessment
- Risk & Dependency Register
- Architecture Roadmap
Architecture Principles I work by
01 · Start with the problem, not the technology.
Technology selection follows business outcomes, constraints and measurable requirements — not vendor pressure.
02 · Architect for the whole context.
Applications, data, integration, infrastructure, identity, security, operations, users and organisational constraints must be considered together.
03 · Prefer reuse to reinvention.
Existing platforms, capabilities, patterns and standards should be reused where they provide appropriate strategic fit.
04 · Make decisions explicit.
Important architectural decisions require documented context, alternatives, rationale and consequences — every time.
05 · Design for change.
Architecture should accommodate evolution rather than optimising only for the immediate release.
06 · Security is a design property.
Identity, privacy, resilience and threat controls belong inside the solution architecture — not bolted on afterwards.
07 · Delivery validates architecture.
Architecture is only successful when engineering teams can implement and operate it.
08 · Make trade-offs visible.
There is rarely one perfect architecture; cost, risk, performance, complexity and time are balanced deliberately, in writing.
Architecture with delivery depth
I have remained technically close to implementation throughout my architecture career. Depending on programme scope, hands-on architecture work has included:
- Prototyping architecture decisions and validating Azure configurations
- Reviewing APIs, integration specifications, schemas and data flows
- Writing and reviewing KQL, interrogating logs and telemetry
- Validating network / security / identity controls and reviewing deployment pipelines
- Defining infrastructure and platform configurations
- Troubleshooting design-to-production issues with engineering, platform and vendor teams
Explore
Architecture Patterns & Playbooks
Reusable architecture assets — Enterprise Identity Control Plane, Azure Secure Landing Zone, RAG Reference Architecture, Operational Resilience and more.
Data & Integration Architecture
Information architecture, APIs, event-driven systems, data platforms, analytics and governed data exchange.
Public Sector Architecture
Alignment with public-sector digital-service, cloud, interoperability and data-standards principles.
Case Studies
Programme-level architecture evidence — problem, decisions, artefacts, delivery role, outcome.