Services
Data Platform & Data Governance
Engineering-led data foundations for analytics, AI, compliance, and enterprise-scale decision-making.
What this delivers
A data estate engineered for reliability, transparency, and long-term adaptability. Your organisation gains a Lakehouse platform capable of supporting SQL, API, batch, and streaming workloads, all governed through consistent metadata standards, lineage, and domain-driven ownership. This reduces operational friction, accelerates onboarding, and ensures that analysts, engineers, and AI teams work from trusted, well-structured sources.
The combined platform and governance model provides automated lineage for audit and compliance, unified access controls, scalable ingestion pipelines, and a governance framework that grows with your organisation rather than constraining it. The result is a data foundation that supports modern analytics and AI initiatives while maintaining the controls required for regulated environments.
Data Platform & Data Governance Services
Our services bring engineering discipline to the entire data lifecycle, from ingestion and storage to governance and compliance. We design secure, observable, cost-efficient platforms that are ready for AI workloads, with governance embedded from the start so data is discoverable, classified, and owned across domains.
Data Platform Engineering
Governed Lakehouse foundations that make trusted data available to analytics and AI workloads.
A modern data platform is a core part of an organisation’s digital estate, not an isolated analytics environment. Our engineering-first approach unifies batch, streaming, SQL, and API-driven data sources into a single governed model.
We specialise in Azure Databricks and Unity Catalog Lakehouse architecture, designing platforms with automation, CI/CD, lineage, and operational readiness from day one. Your data platform becomes secure, scalable, and ready to support analytics and AI workloads across teams.
What we deliver
- Azure Databricks deployment and configuration, including workspace setup, cluster policies, security baselines, and CI/CD integration
- Unity Catalog Lakehouse architecture with centralised governance, lineage, secure access patterns, and multi-workspace sharing
- Data ingestion pipelines for SQL sources, HTTP/REST APIs, cloud storage, and enterprise systems
- Delta Lake optimisation covering performance tuning, schema evolution, and ACID-compliant data operations
- Platform operations for monitoring, cost governance, cluster lifecycle, and SLA-driven support
- Azure
- Databricks
- Unity Catalog
Data Governance Platforms
Governance foundations that keep enterprise data trusted, discoverable, and ready for confident reuse.
Strong governance is the difference between a data platform that accelerates the business and one that slows it down. We implement Azure Purview as the backbone of your governance estate, delivering automated lineage, classification, domain modelling, and metadata standards that scale across teams and systems.
Our approach blends engineering discipline with governance frameworks: federated ownership, domain boundaries, quality rules, lifecycle policies, and compliance reporting. This ensures your data remains trusted, discoverable, and ready for analytics and AI.
What we deliver
- Azure Purview deployment and configuration for scanning, classification, lineage mapping, and RBAC
- Data-domain modelling for clear domain boundaries, ownership models, and federated governance
- Metadata standards spanning naming conventions, schema governance, quality rules, and lifecycle policies
- Integration with Databricks, SQL, APIs, Lakehouse assets, and cloud storage
- Governance reporting with lineage visualisation, compliance dashboards, and audit evidence
- Azure
- Databricks
- Unity Catalog
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