Data Platforms
An enterprise lakehouse your analysts trust and your governance team signs off on — the same day.
A data platform is only as good as the decisions people are willing to make on it. We build lakehouse foundations where lineage is visible, access is governed centrally, and quality is enforced at ingestion — so the dashboard the CFO reads and the feature store the model reads are the same governed truth.
Concrete offerings you can scope
Lakehouse architecture
Medallion layers on open formats (Delta / Iceberg) with reproducible pipelines and cost-aware compute.
Unity Catalog governance
Central access control, lineage, and auditing across every workspace, team, and cloud.
Data quality & contracts
Expectations enforced at ingestion, with alerting so bad data fails loudly, not silently.
Analytics foundations
Semantic layers and curated marts that give BI and ML one governed definition of every metric.
Streaming & CDC
Change-data-capture and streaming ingestion for near-real-time products, not overnight batches.
FinOps for data
Compute tuning, autoscaling policies, and chargeback so the platform bill stays defensible.
Shapes we run — enter at any of them
Lakehouse foundation
A governed medallion architecture on Databricks with Unity Catalog, one production domain, and lineage.
Data platform assessment
Map current pipelines, governance gaps, and cost; return a target architecture and migration sequence.
Platform operations
We run the lakehouse — pipelines, quality, cost, and access reviews — under a clear SLA.
What we run in production
Representative of our default toolkit — we adapt to your existing stack.
Ready to build your Data Platforms foundation?
Book a 30-minute discovery call. You will talk to the engineer who would run the work — not a sales rep.