Databricks Consulting
Lakehouse architecture, implementation and optimisation on Azure Databricks, from the first workspace to production data products.
Learn moreData consulting services for Azure and Databricks
Six services covering the full data platform lifecycle, from architecture and migration to data quality, governance and reporting. Engage for one, or combine them into a single programme.
Azure Data Platform & Fabric
End-to-end Azure data platforms with ADLS Gen2, Data Factory, Synapse and Microsoft Fabric, deployed in-region where required.
Learn moreData Quality & Remediation
Metadata-driven data quality frameworks that catch, explain and fix bad data before it reaches a report.
Learn moreData Governance & Unity Catalog
Ownership, access control, lineage and Critical Data Elements implemented in Unity Catalog and Purview.
Learn moreData Warehouse Migration
Migrate Oracle, ODI, SAP BW and SQL Server warehouses to Azure and Databricks, with reconciliation proving every figure.
Learn moreAnalytics & Power BI
Governed Gold data models and Power BI semantic layers for finance, supply chain and executive reporting.
Learn moreWays to work with us
Start small with a fixed-scope review, or bring in senior architecture leadership for the long term.
Fixed scope, 2 to 3 weeks
Platform health check
An independent review of your Databricks or Azure data platform, ending with a clear, prioritised plan.
- Architecture and security review
- Data quality baseline for critical data
- Cost and performance findings
- Roadmap with effort estimates
Project, typically 6 to 16 weeks
Build and deliver
Design and deliver a defined outcome: a lakehouse, a migration, a data quality framework or a data product.
- Agreed scope, milestones and acceptance criteria
- Hands-on build with your team
- Testing, reconciliation and sign-off
- Documentation and handover
Monthly retainer
Fractional data architect
Senior architecture leadership for a fraction of the cost of a full-time hire.
- Design authority and architecture reviews
- Code reviews and engineering standards
- Help on the hardest problems
- Mentoring for data engineers