Capabilities
Services
Full programme delivery aligned to enterprise frameworks. Every capability your hiring manager expects on a senior data, AI, or platform engineering specification.
Where SPECTRA adds the most value
The strongest engagements connect data estate design, application build, and operational control instead of treating them as separate workstreams.
Fabric-first data estates
Lakehouses, warehouses, semantic models, and governed reporting structures designed so AI and leadership insight run on the same estate.
Microsoft FabricLakehousePower BIGoverned data
Applications that consume the estate
React front ends, Python services, APIs, container apps, Docker workflows, and microservice boundaries that turn the platform into working products.
ReactPythonAPIsContainer AppsDockerMicroservices
Operationally safe delivery
DevSecOps, documentation as code, observability, and governance-aware delivery so the estate stays supportable after release.
DevSecOpsGrafanaDocumentation as codeGovernance
Discover & align
Executive discovery, business analysis, scope, WSJF, user stories, process and tool inventory, and synthesis across your operation before build starts.
Programme orchestration & business analysis
End-to-end programme flow from scoped intent through delivery gates.
OrchestrationWSJFBusiness analysisPortfolio alignmentLean Six Sigma
Discovery & stakeholder synthesis
Leadership and user discovery before anything is built.
Discovery workshopsUser storiesProcess mappingMoSCoWTranscript-led discovery
Agentic AI for enterprise delivery
Enterprise-grade agentic tooling scoped per engagement.
Agentic AILLM integrationEnterprise AISession transcription
Programme & portfolio management
From strategy and initiatives through controlled delivery.
PRINCE2APMPLean Six SigmaPortfolio managementITIL v4
Design & build
TOGAF and C4 solution design, APIs, MCP, Microsoft Fabric lakehouses, application engineering, UX/UI, and design systems.
Solution architecture & design
Industry-standard architecture from discovery artefacts.
TOGAFC4 modelNFRsADRDecomposition
Software engineering
Production APIs, integrations, and application build.
PythonReactAPIsMCPBackend engineering
Application platforms & microservices
Containerised services and application boundaries designed for operational scale.
Container AppsDockerMicroservicesService designApp platform
Data engineering — Microsoft Fabric
Fabric-native pipelines, lakehouse, and real-time data movement.
Microsoft FabricETLLakehouseMedallionPython
UX, UI & creative production
Design systems, Figma, accessibility, and branded experiences.
UXUIFigmaDesign systemsAccessibilityMicrosoft templates
Executive insight & reporting
Decision-grade Power BI and Fabric semantic models for leadership.
Power BIExecutive dashboardsKPI reportingFabric semantic models
Deliver, release & operate
Secure Azure and M365 enablement, sprint delivery in Azure DevOps, test automation, CI/CD, observability, governance, and living documentation.
Platform engineering & secure enablement
Azure and M365 foundation with security-first identity and access.
Platform engineeringAzureMicrosoft GraphRBACConditional accessDevSecOps
Data governance & compliance enablement
Governance patterns that make the estate safer, more discoverable, and easier to scale.
Purview roadmapData governanceGDPRCompliance alignmentAccess models
Agile delivery & sprint coordination
ADO-native sprint orchestration from backlog to retrospective.
Azure DevOpsSprint goalsTrunk-based developmentPrioritisation
Quality assurance & test engineering
Full test pyramid with ADO-integrated test harness.
Test harnessUnit testingIntegration testingPerformance testingSecurity testing
DevOps & release engineering
Automated ship path from merge to production.
CI/CDRelease pipelinesGitOpsVersion tagging
Observability & site reliability
Monitor and burn-in what was delivered.
SREGrafanaPrometheusLokiAzure MonitorCost visibility
Documentation & knowledge operations
Documentation and training that stays current with delivery.
Documentation as codeITILTraining materialsKnowledge base
MLOps & AI operationalisation
A path from AI experiments to managed model and automation lifecycles where it fits the programme.
MLOpsModel deploymentMonitoringAI pipelinesAutomation
Network engineering
IP design, firewalls, and tactical network operations.
IP addressingSubnettingFirewallsNetwork design
Security, governance, and operations
SPECTRA does not treat governance, compliance, documentation, and observability as work that happens after the build. They are part of the delivery shape from the start.
Security and compliance
DevSecOps, secure enablement, GDPR-aware delivery, and architecture that can align to enterprise control frameworks including SOC 2 and ISO 27001 expectations.
Governance and Purview
Governance patterns around access, stewardship, discoverability, and a Purview-aligned roadmap where it fits the client's estate maturity.
Observability and documentation
Grafana, Prometheus, Loki, Azure Monitor, documentation as code, and operational handover designed to keep the platform measurable after release.
Match your specification
Send your role profile or programme brief. We will respond with an honest fit assessment.
Contact SPECTRA