Platform Engineering

The difference between a productive data org and a bottlenecked one is usually the platform underneath. We place engineers who've built these systems before and know what works at scale versus what just looks good in a diagram.

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88%

Placement Success Rate

14 days

Avg Time to Place

8+ yrs

Avg Platform Experience

90%

Retained Past 12 Months

What We Deliver

Core Capabilities

We place engineers who design internal data platforms -- lakehouses, data meshes, self-service tooling -- so your domain teams stop waiting weeks for data access and start moving independently.

Data Mesh

Domain-oriented data ownership with federated governance. Teams own their data products without losing consistency across the organization.

Lakehouse Architecture

Unified analytics on Delta Lake or Iceberg -- warehouse-grade query performance with the flexibility and cost profile of a data lake.

Developer Experience

Internal data portals, SDKs, and APIs designed to make data access frictionless. Less ticket-filing, more building.

Data Catalog

Searchable metadata with lineage, quality scores, and clear ownership. Your team can find and trust the data they need.

Technology Stack

Tools & Technologies

DatabricksSnowflakedbtBackstageAmundsenDataHubUnity CatalogAtlan

Success Stories

Real-World Use Cases

Data Mesh Adoption

A platform engineer we placed led a data mesh rollout for a client, enabling domain teams to publish and consume data products without central bottlenecks.