Service area
Azure Data Platform
Scalable, secure Azure foundations tailored to your data needs.
Build a resilient, scalable foundation for your data
How we engineer Azure landing zones and data estates built to last.
Whether you are migrating legacy systems or architecting from zero, we create Azure data platforms that scale, secure your information and enable downstream analytics.
Why this matters
Why the right platform architecture keeps analytics fast and trustworthy.
Many organisations struggle with fragmented data silos and brittle pipelines. Without a unified, well-architected foundation - dashboards and models become untrustworthy. The right platform allows you to analyse, iterate and build momentum without constantly rebuilding infrastructure.
What we deliver
The architecture, integration, and governance building blocks we implement.
Architecture & Platform Design
- Data lake and lakehouse architectures (Delta Lake, medallion patterns, Data Vault modelling)
- Azure Synapse Analytics, SQL pools and serverless SQL configuration
- OneLake and storage fabric planning for Microsoft Fabric customers or Power BI environments
- Subscription architecture, tenancy design and multi-environment/hybrid cloud access and isolation
Data Ingestion, Integration & Pipeline Setup
- Event-driven ingestion, streaming and batch orchestration across Azure Data Factory, Synapse Pipelines and Azure Functions
- Integration patterns spanning on-premises, hybrid and SaaS sources
- DataOps workflows, CI/CD for pipelines and infrastructure-as-code templates
- Metadata cataloguing, lineage capture and data product design
Governance & Operational Foundations
- Role-based access models, Purview integration and policy automation
- Cost management policies and proactive financially aware monitoring
- Observability across compute, storage and transformation pipeline health metrics
Technologies & accelerators
Tools we use to accelerate delivery
- Azure Data Factory, Synapse Pipelines and Azure Functions patterns for orchestrating ingestion of data and managing APIs
- Databricks lakehouse blueprints with Unity Catalog, Delta Live Tables and workflows for reliably governed data engineering
- Microsoft Fabric OneLake architecture guidance that keeps data products discoverable across domains
- Infrastructure-as-code accelerators spanning Terraform, ARM and Azure DevOps pipeline templates
- Azure Monitor and Purview operational dashboards that surface lineage, quality and cost signals in real time
Process & methodology
Our blueprint for launching and evolving Azure-native data ecosystems.
- Discover & prioritise — Map workloads, data consumers, risk and regulatory considerations.
- Architect & deliver — Assemble platform components, stand up ingestion and codify governance that’s suitable for your environment.
- Enable & evolve — Transfer operating knowledge, embed observability and auditability and iterate with your teams.
Why partner with McCluskey Digital
What differentiates MDE as a partner for complex Azure data work.
We have engineered Azure data platforms for government, healthcare and complex commercial environments by combining reusable blueprints and technical expertise to harden existing pipelines and legacy processes. Our teams pair that with hands-on coaching so internal staff can maintain momentum long after go-live.
Let’s co-design your future data backbone
Work with MDE architects to shape an Azure platform that scales with your ambition.
Ready to modernise your Azure data foundation?Our approach
How we partner
Step 1 Discover context
Clarify goals, understand your current landscape and stakeholders to make sure we are solving the right problem from day one.
Step 2 Design the path
Co-create the architecture, delivery plan and success measures that will deliver durable data capability.
Step 3 Deliver & evolve
Ship value iteratively, embed change and transfer knowledge so your team can sustain momentum.