Assessment
For leaders needing evidence on architecture, risk, cost, controls and priorities before committing to change.
AWS Platform Consulting
Build and Operate AWS With Architecture, Control and Business Purpose
DataConsultant helps enterprises assess, architect, migrate, integrate, secure, govern, optimise and operate AWS environments for data, analytics, AI and digital workloads—without turning cloud adoption into a disconnected collection of services.
✓Workload-led architecture✓Security and governance by design✓Migration and modernisation support✓FinOps and operational ownership
Independent consulting around AWS. No vendor partnership, reseller status or certification is implied by this page.
Enterprise AWS platform
AWSlanding architecture
Identity & accountsNetwork & connectivityData, analytics & AISecurity, observability & FinOps
Architecture FirstTarget state shaped by workloads and non-functional needs
Governed FoundationsIdentity, security, logging, policy and ownership built in
Migration DisciplineDependencies, waves, validation and cutover controls
Operate & OptimiseObservability, reliability, FinOps and improvement
Buyer triggers
When AWS Becomes an Enterprise Platform Decision
AWS may begin with one workload, but enterprise adoption quickly becomes an architecture, control, cost and operating-model question.
01
Account and environment sprawl
Teams create inconsistent environments, permissions and delivery patterns that become harder to govern.
02
Migration without dependency clarity
Applications, data, networks and identity dependencies are discovered too late for safe cutover.
03
Cloud cost without unit economics
Consumption grows faster than allocation, tagging, forecasting and architectural cost discipline.
04
Data and AI initiatives outrun foundations
Analytics and AI teams need secure storage, integration, governance, observability and repeatable deployment patterns.
Target architecture
A Governed AWS Landing Architecture for Data, Analytics and Digital Workloads
The final design depends on your estate. The pattern below shows how workload delivery sits inside account, identity, networking, security, observability and cost controls rather than beside them.
Enterprise & source estateUsers, applications, databases, files, events, SaaS and on-premises systems
Identity providerData sourcesBusiness appsNetworks
→
AWS landing zone & workload accountsMulti-account structure, network boundaries, environment separation and automated foundations
OrganizationsControl TowerIAM / Identity CenterVPC
→
Workload capabilitiesData engineering, analytics, applications, APIs, event processing and AI/ML according to need
S3GlueRedshiftAthenaEMRKinesis
Security & KMSCloudTrail & evidenceCloudWatch & observabilityIaC & CI/CDCost allocation & FinOps
Illustrative only. The AWS service set is selected from business outcomes, workload characteristics, enterprise standards, risk, performance, location and cost requirements.
Capability model
What DataConsultant Can Design and Deliver Around AWS
The engagement is organised around enterprise capabilities, not an indiscriminate list of AWS products.
Foundation & landing zoneData & analyticsMigration & integrationSecurity & governanceOperations & FinOps
Cloud strategy & assessmentCurrent state, workload fit, risks, decision criteria, target principles and roadmap.
Landing-zone architectureAccounts, OUs, environment separation, identity, network and shared-service patterns.
Data-platform engineeringIngestion, storage, transformation, orchestration, analytics and governed consumption.
Application & API integrationInterfaces, events, connectivity, service boundaries, secrets and reliability patterns.
Migration & modernisationDiscovery, disposition, wave planning, replatforming, validation, cutover and stabilisation.
Security architectureIdentity, least privilege, network controls, encryption, key management, logging and incident considerations.
Governance & controlsPolicy, evidence, ownership, data governance, retention, change and assurance requirements.
Platform automationInfrastructure as code, environment standards, CI/CD, policy automation and repeatable deployment.
Managed operationsMonitoring, incident triage, release support, optimisation, reporting and continual improvement.
Need an AWS target architecture before you build?
Bring your workloads, current estate, risk constraints and desired outcomes. We can help turn them into an implementation-ready design.
Implementation blueprint
From Discovery to a Controlled AWS Production State
AWS implementation should create a repeatable platform capability, not a one-off environment that only the project team understands.
1DiscoverOutcomes, workloads, stakeholders, constraints and evidence
2AssessAccounts, architecture, controls, costs and operational readiness
3DesignTarget architecture, standards, security, governance and migration
4BuildFoundations, automation, integrations and workload capabilities
5ValidateSecurity, reliability, performance, recovery and acceptance evidence
6OperateRunbooks, ownership, telemetry, cost controls and improvement backlog
Migration & modernisation
Move Workloads to AWS With Dependency, Validation and Cutover Control
Migration planning should separate discovery from execution and make workload disposition, data movement, testing and rollback decisions explicit.
Migration pathway
DiscoverInventory applications, data, interfaces, owners, technical debt and operational dependencies.
AssessEvaluate business criticality, readiness, non-functional requirements, risk and target-state fit.
DesignDefine AWS target patterns, connectivity, data movement, security, recovery and observability.
MigrateExecute controlled waves with automation, reconciliation, performance checks and acceptance gates.
StabiliseResolve residual issues, transfer ownership, tune operations and track post-cutover improvements.
Disposition is a workload decision
Different workloads can require different migration treatments. DataConsultant uses evidence rather than forcing a single migration motion.
RehostReplatformRefactorRetireRetainReplace
The appropriate disposition and terminology should be confirmed against the client’s migration method, workload economics and AWS guidance in scope.
Planning an AWS migration or cloud modernisation?
Start with workload inventory, dependency mapping and a migration wave plan that makes risk and acceptance visible.
Security, governance & assurance
Design AWS Controls Across Identity, Data, Network and Operations
AWS security is not one service. It is a set of architectural, configuration, process and ownership decisions that need to work together.
| Control domain | Architecture questions | DataConsultant focus |
|---|---|---|
| Identity & access | How are users, roles, service identities, federation and privileged access controlled? | Permission model, least privilege, segregation of duties, access lifecycle and evidence. |
| Network & connectivity | Which workloads need private connectivity, segmentation, inspection and controlled ingress/egress? | VPC pattern, routing, endpoints, connectivity, boundary design and operational ownership. |
| Data protection | What data is sensitive, where is it stored, and how should keys, retention and recovery work? | Classification, encryption, KMS design, retention, backup, restore and data-residency decisions. |
| Logging & detection | Which events must be recorded, centralised, retained, monitored and investigated? | CloudTrail, CloudWatch and related evidence, alerting, escalation and incident considerations. |
| Configuration & change | How are approved baselines deployed and drift identified? | Infrastructure as code, environment standards, change controls, review gates and remediation ownership. |
| Data governance | Who owns data, who may use it and how are metadata, quality and lifecycle decisions governed? | Ownership, access, catalogue and lineage integration, quality controls, retention and policy alignment. |
Concerned about AWS control gaps or inconsistent environments?
We can scope an evidence-led review of architecture, access, logging, governance, resilience and operational ownership.
Performance & FinOps
Make AWS Cost and Performance Part of Architecture, Not an Afterthought
AWS charges depend on the services and consumption patterns in use. Consulting cost optimisation should therefore connect workload behaviour, resource design, allocation and operational decisions.
Continuous
FinOps
FinOps
Typical optimisation questions
- Can owners see cost by account, workload, product or environment?
- Are tagging and cost-allocation rules usable for financial accountability?
- Do compute, storage and data-transfer choices reflect real usage patterns?
- Are idle resources, over-provisioning and non-production schedules controlled?
- Are commitment mechanisms such as Savings Plans evaluated against stable demand rather than purchased by assumption?
- Are performance and reliability trade-offs documented before cost changes are implemented?
DataConsultant professional-service fees are separate from AWS service charges. AWS pricing varies by service, region, usage and commercial arrangement.
Operating model
Define Who Owns AWS After the Project Team Leaves
Sustainable cloud operations need decision rights, service ownership, escalation routes, platform standards and measurable improvement—not only monitoring tools.
Need AWS support beyond implementation?
Scope monitoring, incident support, release controls, cost reviews, optimisation and continuous platform improvement around clear service boundaries.
Outputs
What You Can Receive From an AWS Engagement
Deliverables are adapted to scope, but should leave the client with documented decisions, implementable standards and operational ownership.
01
Current-state AWS assessmentEstate, risks, technical debt, controls, performance, cost and readiness findings.
02
Target AWS architectureLogical and deployment views, environment model, service decisions and design rationale.
03
Landing-zone & account modelOrganisational structure, shared services, identity, network and environment boundaries.
04
Security & governance designControls, evidence, data governance, key management, logging and ownership.
05
Migration & modernisation planDisposition, dependencies, waves, test strategy, cutover and rollback considerations.
06
Engineering standardsInfrastructure as code, CI/CD, testing, observability and reusable implementation patterns.
07
FinOps control modelAllocation, reporting, optimisation cadence, architectural cost drivers and accountability.
08
Runbooks & operating modelSupport boundaries, escalation, service measures, change process and improvement backlog.
Engagement model
Choose the AWS Support Model That Matches the Decision in Front of You
Engagement shape should reflect whether you need evidence, design, delivery capacity or an ongoing operational capability.
Architecture & roadmap
For greenfield, expansion or modernisation programmes needing target design and sequenced decisions.
Implementation workstream
For teams needing accountable build, migration, integration, testing, documentation and handover.
Managed platform support
For ongoing monitoring, release support, incident triage, FinOps, optimisation and service reporting.
Good fit
AWS Consulting Is a Strong Fit When…
- You need a governed multi-account AWS foundation.
- You are migrating data, applications or analytics workloads.
- Your AWS estate has inconsistent security, networking or deployment patterns.
- You need a cloud data and analytics platform on AWS.
- Cost growth requires stronger allocation and FinOps controls.
- You need operational ownership and a repeatable platform model.
Consider a narrower scope
A Different Engagement May Be Better When…
- The requirement is only a small break-fix task with no broader architecture impact.
- The key decision is vendor selection across multiple clouds rather than AWS implementation.
- Business ownership, funding or target outcomes are not yet defined.
- The need is limited to a specialised application product outside DataConsultant’s data, analytics, AI and platform scope.
- Legal certification or formal statutory audit is the primary requirement.
Related support
Connect AWS Platform Work With Adjacent Data and Cloud Services
Use these existing DataConsultant services when the AWS requirement is specifically about data-platform delivery or broader platform consulting.
Frequently asked questions
AWS Consulting FAQs
Practical answers about scope, architecture, migration, governance, cost and engagement.
What AWS consulting services does DataConsultant provide?
DataConsultant can support AWS strategy, cloud and data architecture, landing-zone alignment, platform implementation, integration, workload migration, security and governance design, data and analytics enablement, performance improvement, FinOps controls, observability, operating-model design and managed platform support. Final scope is agreed from business outcomes, workload evidence and the existing AWS estate.
Can DataConsultant assess an existing AWS environment before proposing changes?
Yes. An assessment can review account and organisational structure, workload architecture, identity and access, networking, data flows, security controls, resilience, monitoring, deployment practices, cost allocation and operational ownership. Findings should be evidenced and prioritised rather than treated as a generic checklist.
Does DataConsultant sell AWS licences or claim to be an AWS reseller?
This page describes independent consulting and delivery services around AWS. AWS service consumption and contractual charges remain separate from DataConsultant professional-service fees. No reseller, certification or formal partner status is implied by this page.
How does AWS Control Tower fit into a landing-zone design?
AWS Control Tower can be used to set up and govern a multi-account AWS environment using AWS Organizations and related services. Whether it is appropriate depends on the organisation’s existing account estate, identity model, control requirements, regions, automation and operating model.
Which AWS services might be included in a data and analytics architecture?
Depending on workload requirements, an architecture may use services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, AWS Database Migration Service, AWS Lambda, AWS Step Functions, Amazon MWAA, Amazon QuickSight, AWS IAM, AWS KMS, Amazon CloudWatch and AWS CloudTrail. Service selection should be driven by workload, risk, performance, integration and cost requirements rather than by a fixed catalogue.
How do you approach AWS security and governance?
The approach can cover identity federation, least-privilege access, account boundaries, network controls, encryption and key management, logging, configuration evidence, data classification, retention, backup and recovery, change controls, incident considerations and ownership. Applicable regulatory or legal requirements must be confirmed by authorised client specialists.
Can DataConsultant migrate workloads from on-premises or another cloud to AWS?
Yes, where migration is in scope. Work normally starts with discovery and dependency mapping, then workload disposition, target design, migration waves, data reconciliation, testing, cutover planning, rollback considerations and stabilisation. The exact approach varies by workload and risk.
How is AWS performance and scalability addressed?
Performance work can examine workload characteristics, service limits, latency, throughput, concurrency, storage and compute choices, query or job behaviour, caching, scaling policies, architecture bottlenecks and telemetry. Recommendations should be validated against representative workloads and non-functional requirements.
How does DataConsultant approach AWS cost optimisation?
Cost work can combine tagging and allocation, budgets, cost and usage analysis, architecture choices, rightsizing, scheduling, storage lifecycle, data-transfer awareness and commitment options such as Savings Plans where suitable. Cost optimisation is continuous; it should not compromise agreed security, reliability or performance requirements.
What deliverables can an AWS engagement produce?
Typical deliverables can include a current-state assessment, target architecture, account and environment model, security and governance design, integration patterns, migration plan, infrastructure-as-code standards, CI/CD approach, observability model, cost-control framework, test and acceptance criteria, operational runbooks, ownership model and prioritised roadmap.
What does the client need to provide?
Useful inputs include business priorities, workload inventory, architecture diagrams, AWS account and network information, security and policy requirements, cost and usage data, incident history, deployment practices, service-level expectations, source-system dependencies and access to accountable business and technical stakeholders.
How long does an AWS engagement take?
A reliable duration is confirmed after discovery. Timing depends on account and workload count, migration scope, network and identity readiness, data volume, control requirements, testing, release windows, stakeholder availability and whether the engagement covers assessment, implementation, migration or ongoing operations.
How is DataConsultant AWS consulting priced?
DataConsultant does not publish a fixed fee for this AWS platform service. Professional-service pricing is scope-led and depends on assessment depth, architecture complexity, workload count, migration effort, security and governance requirements, automation, testing, documentation, onsite needs and the chosen engagement model. AWS service charges are separate and remain subject to AWS pricing and the client’s commercial arrangements.
Request a Scope Review
Discuss Your AWS Requirement
DataConsultant can review the likely scope, evidence needed, stakeholder involvement and appropriate next step.