Data Platforms Background

Build the Data Foundation
Everything Else Depends On

Governed data platforms on Databricks, Snowflake, and Microsoft Fabric. Lakehouse architecture. Medallion pipelines. BI dashboards your board trusts. ESG and regulatory reporting that satisfies APRA and ASIC. FI Digital — engineering data foundations for Australian enterprise.

Why Data Platforms Matter

Every organisation wants AI. But the ones that succeed get their governed data foundations right first.

Without a Governed Platform:
  • AI models train on fragmented, inconsistent data sets.
  • Dashboards show conflicting metrics to different stakeholders.
  • Compliance reports require weeks of manual reconciliation.
  • Data scientists waste 80% of their time cleaning data instead of modelling.

FI Digital builds the foundation that makes everything else possible. We design and deploy modern architectures using Databricks, Snowflake, and Microsoft Fabric.

Our approach is platform-agnostic but opinionated: we recommend the architecture that naturally fits your existing stack, compliance thresholds, and analytical ambitions.

Platform Architecture Routing

Microsoft Fabric

If your organisation runs on Microsoft (Azure AD, Power BI, Dynamics 365), Microsoft Fabric is the natural choice.

Databricks

If you need advanced ML and data science capabilities, Databricks is the strongest option.

Snowflake

If you need pure cloud-native warehousing with data sharing across organisational boundaries, Snowflake excels.

Hybrid

Some clients use two platforms for different workloads. We design the architecture to support that.

What We Build

Centralised Lakehouse Pattern

A visual blueprint of our governed data pipeline architecture. We map operational ingestion sources seamlessly through the Medallion standard (Bronze, Silver, Gold), strictly ensuring data is cleansed and categorized for production consumption.

  • Bronze: Raw Ingestion
  • Silver: Cleaned & Filtered
  • Gold: Business-Ready
Enterprise Lakehouse Architecture Medallion Topology

Lakehouse Architecture

We design and deploy modern lakehouse platforms that combine the flexibility of data lakes with the governance of data warehouses. Bronze, Silver, Gold medallion architecture ensures data flows from raw ingestion through transformation to business-ready analytical datasets. Every layer is governed, auditable, and version-controlled.

Data Pipelines and ETL/ELT

We build production-grade data pipelines that ingest data from your operational systems (CRM, ERP, finance, HR, IoT), transform it using medallion patterns, and deliver clean, governed datasets for analytics and AI. Our pipelines are automated, monitored, and self-healing.

Business Intelligence and Reporting

Dashboards and reports that your board, your CFO, and your operations team actually trust. We build on Power BI (for Microsoft Fabric environments), Tableau, and Looker. Our BI practice focuses on decision-grade reporting, not vanity metrics.

Governance, Compliance, and ESG

Data governance frameworks that satisfy APRA, ASIC, ACSC, and industry-specific regulators. Data lineage, access controls, audit trails, and automated compliance reporting. ESG reporting that aggregates environmental, social, and governance metrics across your operational systems.

Platform Expertise

We engineer the three dominant cloud data platforms in the Australian enterprise market. We build native components specific to each ecosystem.

Databricks Logo

Databricks

We design and deploy Databricks lakehouse platforms on Azure. Medallion architecture, Delta Lake, Unity Catalog for governance, MLflow for experiment tracking, and Databricks SQL for analyst-friendly querying. Our Databricks practice serves financial services, healthcare, and resources clients who need advanced analytics and ML capabilities alongside governed data management.

Explore Databricks Services
Microsoft Fabric Logo

Microsoft Fabric

The newest and most tightly integrated platform for Microsoft-stack enterprises. We deploy Fabric workspaces that unify data engineering, data science, real-time analytics, and Power BI reporting in a single governed environment. OneLake provides a single data lake across the entire organisation. If your enterprise runs on Azure AD, Power BI, and Dynamics 365, Fabric is the most natural path to a modern data platform.

Explore Microsoft Fabric Services
Snowflake Logo

Snowflake

Cloud-native data warehousing with industry-leading data sharing and governance capabilities. We deploy Snowflake for organisations that need cross-organisational data sharing, multi-cloud flexibility, and consumption-based pricing. Snowflake excels in financial services scenarios where data needs to be shared between advisers, compliance teams, and external auditors with granular access controls.

Explore Snowflake Services

Data Platform FAQ

A lakehouse combines the best of data lakes (flexible storage, support for all data types) with the best of data warehouses (governance, ACID transactions, SQL querying). FI Digital deploys lakehouse platforms using Databricks Delta Lake, Snowflake, or Microsoft Fabric OneLake. The result is a single platform that serves data engineers, data scientists, BI analysts, and compliance teams.
It depends on your existing technology stack and analytical ambitions. If you are a Microsoft-stack enterprise (Azure AD, Power BI, Dynamics), Fabric is the natural fit. If you need advanced ML and data science, Databricks is strongest. If you need cross-organisational data sharing and multi-cloud flexibility, Snowflake excels. We assess your environment during Discovery and recommend the best fit.
A foundational data platform (lakehouse design, initial pipelines, core dashboards) takes 10 to 14 weeks. More complex deployments with multiple source systems, compliance requirements, and advanced analytics may take 16 to 24 weeks. We scope the timeline during Discovery.
Governance is built into every deployment. We implement data lineage, access controls, audit trails, and automated compliance reporting from day one. Our platforms satisfy APRA, ASIC, and ACSC requirements for financial services and healthcare clients.
Yes. We build on Power BI, Tableau, and Looker. If you already have BI investments, we integrate the new data platform as a source layer rather than replacing your existing tools.
The medallion architecture (Bronze, Silver, Gold) is a data design pattern used in modern lakehouses. Bronze stores raw, ingested data. Silver stores cleaned and validated data. Gold stores business-ready, aggregated datasets for reporting and AI. Each layer adds quality and governance. This is the standard pattern we deploy on Databricks and Fabric.

Ready to Build Your Data Foundation?

Bring us your fragmented data challenge or your compliance problem. We will provide an honest technical assessment, a lakehouse architecture plan, and a transparent delivery timeline.