AWS Solution Architect
Architecture-Led AWS Delivery for Agency Projects
We embed an AWS solution architect into your agency engagements. Business requirements translated into service selections. Trade-offs documented before build begins. Architecture governed throughout delivery.
What an AWS Solution Architect Actually Does Inside an Agency Project
The most common misunderstanding about the AWS solution architect role is that it is a senior engineer who also draws diagrams. It is not. The solution architect function sits between the client’s business requirements and the engineering team’s implementation decisions. Its job is to convert a statement like “we need the product to handle 100,000 concurrent users without going down” into a specific set of AWS service selections, configuration choices, and trade-off decisions that the engineering team can build against with confidence.
That translation function requires understanding why a client is making a particular requirement, not just what it says. It requires presenting the trade-off between Aurora Serverless and a provisioned Aurora cluster to a non-technical product owner in terms they can use to make a real decision. The AWS Well-Architected Framework provides the structural reference for these decisions. Our NextEnvision team provides the role that applies it, through our white-label delivery model, under your agency brand.
AWS Solution Architect Services
Six functions an embedded AWS solution architect performs across the lifecycle of an agency AWS engagement.
Requirements Translation and Service Selection
The gap between what a client says they need and what the AWS service catalogue can provide is where most projects get into trouble. A client who says they need “real-time updates” may need WebSocket connections via API Gateway, server-sent events from an ALB-backed service, SQS long-polling, or SNS push notifications depending on the direction of data flow, the number of concurrent consumers, and the acceptable delivery latency. Getting this right requires asking the question behind the requirement, not mapping the stated requirement to the nearest service.
We conduct requirements workshops at the start of every engagement to surface constraints, non-functional requirements, and implicit assumptions. The output is a requirements document the AWS architecture is designed against, not a feature list extracted from a brief.
Architecture Decision Records and Design Documentation
An architecture decision record captures a significant design choice, the context in which it was made, the options considered, and the reasons the chosen option was preferred. ADRs are stored alongside the codebase and answer the question an engineer asks six months later: “Why is this service here?” without requiring them to find the person who made the original decision.
The decisions that warrant an ADR are not always obvious. The choice of DynamoDB over RDS is one. So is choosing Lambda for an operation that runs 12 minutes when the timeout is 15. So is implementing a custom retry mechanism rather than using SQS dead-letter queues. We identify and document these decisions as they are made, not retrospectively.
Proof of Concept Scoping and Validation
A proof of concept on an AWS engagement is a targeted experiment designed to answer a specific architectural question before the full build is committed. If the question is whether Amazon OpenSearch can return sub-100ms search results for the client’s catalogue size and query pattern, the PoC loads a representative dataset, runs representative queries, and measures the result. It does not build the surrounding application.
Poorly scoped PoCs either prove nothing useful or take longer than the build they were meant to de-risk. We scope PoCs against specific, falsifiable questions with defined success criteria. If the PoC fails, the architecture is revised before any production code has been written against the wrong approach.
Stakeholder Communication and Trade-off Presentation
Architecture trade-offs need to reach people who will make decisions based on them but who may not have a technical background. The choice between multi-region active-active and single-region with automated failover is a cost, complexity, and reliability trade-off that a product owner or finance director needs to understand well enough to make a real decision. Presenting it as “more resilient versus cheaper” loses the information that makes the decision meaningful.
We present trade-offs in terms of the business outcomes they affect: cost, time to recovery, deployment frequency, operational complexity, and compliance posture. The technical detail is available in supporting documentation but the presentation leads with what enables the decision.
Architecture Governance Through the Build
The architecture designed at the start of a project rarely survives first contact with implementation unchanged. Requirements shift, constraints surface, and engineers make local decisions that individually seem reasonable but collectively drift the built system from the intended architecture. Governance is the function that catches this drift and decides whether it is an acceptable evolution or an error that needs correction.
We participate in sprint reviews and pull request processes as the architecture reference point. When an implementation decision deviates from the documented architecture, we evaluate whether to accept and document it as a revised decision or flag it for correction before it compounds.
Handover Documentation and Engineering Team Enablement
An AWS solution architect engagement does not end when the architecture document is delivered. It ends when the engineering team can make implementation decisions consistent with the architecture without requiring the architect to review each one. That requires deliberate enablement: sessions explaining not just what the architecture is but why, so the team can reason about new requirements against the same principles rather than making ad hoc decisions that accumulate as technical debt.
Handover documentation includes the ADR library, annotated architecture diagram, PoC findings, non-functional requirement targets, and the known risk register. AWS prescriptive guidance on ADRs provides the structural reference we use when teams have not previously maintained a decision library.
The Difference Between Having an AWS Solution Architect and Not Having One
Projects that lack a solution architect function do not typically fail because of bad engineering. They fail because decisions that should have been made explicitly at the architecture level were made implicitly at the implementation level. Six months later, when a requirement changes, the decision record does not exist. The engineer who made the decision may not be on the project. The code is the only documentation, and code does not record the options that were considered and rejected.
The other failure mode is requirements never properly translated: a system built to handle “high traffic” where high traffic was never defined will handle the traffic it was tested against, which is rarely the traffic that arrives when the product gets traction. The aws solution architect role closes both gaps. Both capabilities travel with every engagement through the NextEnvision Agency Partner Program. Read more in our case studies.
Technical Capabilities the AWS Solution Architect Role Brings to Agency Projects
Four disciplines that define what a solution architect contributes beyond what a senior engineer provides.
Non-functional requirement definition
Latency targets, throughput ceilings, availability requirements, recovery time and point objectives, and compliance constraints shape the architecture as much as functional requirements. They are also the requirements most likely to be absent from a client brief or expressed too vaguely to be useful. “The system needs to be fast” is not a latency target. “API responses must complete within 200 milliseconds at the 95th percentile under peak load” is a target that can be designed against, tested, and confirmed or failed during load testing. We elicit and define these at the start of every engagement.
Cross-service failure mode analysis
AWS architectures are composed of multiple services that interact. Each interaction is a potential failure point. The aws solution architect function maps these interactions and identifies the failure modes: what happens when Lambda cannot write to DynamoDB because the table is at write capacity? What happens when an SQS message fails processing three times and lands in the dead-letter queue at 3am when nobody is watching? What happens when the ALB health check fails for two out of three targets? These questions are asked during design, not during the first production incident. The answers shape the retry logic, the alerting configuration, and the capacity planning decisions.
Scalability and capacity design
Scalability design is about understanding the bottleneck that will constrain throughput before Auto Scaling can respond, and designing to eliminate it. A system where the database connection pool is exhausted before the EC2 Auto Scaling group adds capacity is not scalable regardless of the Auto Scaling configuration. We model the throughput chain from load balancer through application tier to database, identify where the constraint sits, and design to remove it before the system is built rather than after the first traffic spike exposes it.
Technology selection defensibility
Every significant technology selection in an AWS engagement will eventually be questioned. The client will ask why DynamoDB was chosen over RDS. The incoming engineering team will ask why Fargate was chosen over Lambda. The finance team will ask why three AWS services are used where one might do. The aws solution architect role produces the answers to these questions before they are asked, by documenting the selection rationale in a form that is understandable to the people who will ask them. A decision that cannot be explained is a liability. A documented decision record is an asset.
AWS Solution Architect Function Delivered Under Your Agency Brand
We embed into your agency engagement as the aws solution architect function, operating entirely under your agency brand. Your client interacts with your team. Requirements workshops, architecture presentations, ADR libraries, PoC findings, and handover documentation are all delivered under your agency name. We are not visible as a third party in the engagement, which matters because the solution architect role requires a level of trust with the client that is built on the agency relationship, not on ours.
This is particularly relevant for architecture presentations to senior client stakeholders, where the credibility of the recommendation depends on the relationship the client has with your agency. We prepare and deliver these presentations as members of your team. Learn more about the engagement structure at our white-label development page.
We work with agencies in Australia, the UK, and Singapore. The aws solution architect function can be engaged at the start of a project, partway through when architecture governance has become a problem, or for a specific phase such as the initial design or the pre-launch load testing review.
Reach us through the Agency Partner Program or directly via our contact page to discuss where the solution architect function fits in your current engagement.
Where AWS Projects Fail Without a Solution Architect
The first pattern is design by seniority rather than by role. The most senior engineer makes architecture decisions because they are the most qualified person available, even though their qualification is in implementation rather than solution design. The decisions get made but are not documented. They are embedded in code and configuration. When that engineer moves on, the reasoning moves with them. The system becomes progressively harder to change because nobody knows which parts are load-bearing architecture and which are implementation details that could safely change.
The second pattern is architecture designed once and never revisited. An aws solution architect produces a design at the start and is not involved through the build. The engineering team makes local decisions that individually seem minor but collectively change what the system is. By project completion, the built system and the designed system have diverged significantly. The next engineer inherits two conflicting pictures and no way to know which is current. Both patterns are preventable with a solution architect engaged throughout the project lifecycle, not just at the start.
How Agencies Engage the AWS Solution Architect Function
Four structures matched to where agencies need solution architecture capability in their project lifecycle.
Project inception architecture sprint
A fixed two-to-three week engagement at the start of an AWS project covering requirements translation, service selection, ADR initialisation, PoC scoping, and the initial architecture document. The output is a documented architecture the engineering team can build against with confidence, not a high-level diagram that leaves the significant decisions open. Suitable for agencies starting a new AWS engagement where architecture decisions need to be made explicitly before the build begins.
Embedded architect through delivery
A solution architect engaged throughout the full delivery lifecycle, participating in sprint planning, design reviews, pull request architecture checks, and client-facing presentations. This is the right structure for complex AWS projects where requirements are expected to evolve during build and where the architecture needs to be actively governed rather than defined once at the start. The architect is embedded in your agency team and is indistinguishable from your own staff to the client.
Architecture rescue and governance reset
An engagement for projects already in build that have drifted from the original architecture, accumulated undocumented design decisions, or surfaced performance or reliability issues that suggest the architecture needs revision. We start with an architecture audit that maps what was designed against what was built, identifies the divergences, and produces a prioritised remediation plan. Suitable for agencies that have inherited a project from another team or whose own project has grown beyond its original design scope.
Pre-launch architecture and load test review
A targeted review of an AWS architecture immediately before a significant launch or traffic event. Covers the failure mode analysis, the auto-scaling configuration validation, the database connection pool sizing, the cache hit rate assumptions, the CDN configuration, and the monitoring and alerting coverage. The output is a pre-launch risk register with specific actions assigned and a load testing plan designed to validate the architectural assumptions before real traffic arrives. Begin with a discovery call to scope the right structure for your project.
How We Deliver the AWS Solution Architect Function
A six-phase process that runs the solution architect function from requirements through to handover.
Requirements discovery and constraint mapping
We start with a structured requirements discovery session that surfaces both functional requirements and the non-functional requirements that are usually absent from the initial brief. Availability targets, latency budgets, throughput requirements, compliance constraints, and the team’s operational capability are all mapped before any service selection is made. The output is a requirements document that serves as the contract between the business requirements and the architecture. The aws solution architect role is accountable to this document throughout the engagement.
Service selection and initial architecture design
Service selections are made against the requirements document, with alternatives explicitly considered and selection rationale documented in architecture decision records. The initial architecture is produced as an ADR library and a system diagram showing service topology, data flows, and integration points. The architecture is reviewed with the engineering team before build begins to surface implementation constraints the design should accommodate and to ensure the team has the context to implement consistently with the design intent.
PoC design and execution
Where the architecture contains a decision that depends on a performance characteristic or a service behaviour that cannot be confirmed from documentation alone, a PoC is designed and executed before the main build begins. The PoC scope is constrained to the specific question it is answering. Success criteria are defined before the PoC runs. The findings are documented and fed back into the architecture decision record that the PoC was designed to inform. If the PoC fails, the architecture is revised. The build does not start until the significant unknowns have been resolved.
Build-phase governance and decision tracking
During the build phase, the aws solution architect participates in sprint ceremonies as the architecture reference point. Implementation decisions deviating from the documented architecture are reviewed and either accepted as an evolution of the design, with the ADR updated accordingly, or flagged for correction. The ADR library is a live document throughout build. The architecture diagram is updated to reflect the system as built, so design and implementation remain the same document. Divergence between them is the primary signal that governance has broken down.
Pre-launch architecture validation
Before launch, the architecture is reviewed against the non-functional requirements defined at project start. The load testing plan validates throughput and latency targets under realistic traffic patterns. Auto-scaling configurations are checked against expected traffic shape. Failure modes are tested in staging where possible. Monitoring and alerting is validated against the failure scenarios identified during design. The pre-launch review produces a sign-off document confirming the architecture is ready for production traffic or listing what must change first.
Handover documentation and knowledge transfer
The engagement closes with a formal handover of the ADR library, the annotated architecture diagram, the PoC findings, the non-functional requirement validation results, and the known risk register. Knowledge transfer sessions are run with the engineering team and with the client-side technical stakeholders who will operate or evolve the system after the engagement ends. The documentation is designed to answer the questions that will be asked in 12 months without requiring the architect to be available to answer them. We cover this alongside the broader engineering delivery across our AWS development services.