Cloud Data Platform Consulting in Sydney and Australia.
Plan and implement data platform capabilities across cloud environments and modern analytics stacks.
Where we can help
Platform choices should reflect delivery constraints, existing skills, data access patterns, security requirements and operating costs. We support engineering across modern cloud data environments, working within the agreed platform and architecture.
Microsoft Fabric and Azure data services
Scoped to the engagement requirements, existing architecture and agreed acceptance criteria.
Snowflake and Cortex related data foundations
Scoped to the engagement requirements, existing architecture and agreed acceptance criteria.
Google Cloud and BigQuery
Scoped to the engagement requirements, existing architecture and agreed acceptance criteria.
AWS data services and lakehouse patterns
Scoped to the engagement requirements, existing architecture and agreed acceptance criteria.
Databricks and PySpark engineering
Scoped to the engagement requirements, existing architecture and agreed acceptance criteria.
Infrastructure automation where appropriate
Scoped to the engagement requirements, existing architecture and agreed acceptance criteria.
A practical delivery path
We start by clarifying the business outcome, data sources, constraints, risks and acceptance criteria. We then agree an approach, implement the necessary engineering, validate the result and document the solution for handover.
Specific scope, deliverables, timelines and commercial arrangements are confirmed for each engagement rather than assumed in advance.
Have a data challenge in mind?
Share the context and we can work out whether this service is a fit.