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Service 02

Data Platform Engineering

Greenfield builds and modernizations: warehouse and lakehouse, streaming, ELT and orchestration, architecture reviews.

The problem

The platform has not kept up with the business.

Pipelines break quietly, queries slow down as data grows, and every new source takes weeks to land. Teams work around the platform instead of on it. Fixing that takes engineers who can rebuild in place without stopping the business that depends on it.

What we build

A platform your team can run and extend.

Warehouse and lakehouse

A storage and compute layer sized for your workloads, with clear ownership of every dataset.

Ingestion and ELT

Reliable loading from your sources, with transformations that are versioned, tested and reviewed.

Streaming

Event pipelines for the data that cannot wait for a nightly batch.

Orchestration

Scheduled, observable workflows with retries, alerting and clear dependencies.

Data quality and observability

Tests, freshness checks and lineage so problems surface before your users find them.

Architecture reviews

An honest assessment of what you have, what to keep and what to change first.

How we engage

Data platform review

A fixed-scope assessment of your architecture, costs, reliability and roadmap.

Embedded pod

1–4 engineers in your team to build or modernize the platform.

Example deliverables

  • A production data platform running in your cloud
  • Tested, version-controlled pipelines
  • Monitoring, alerting and data quality checks
  • Architecture decision records and runbooks
  • Handover sessions with your engineers

Typical stack

  • Your cloud
  • Cloud data warehouse or lakehouse
  • Streaming platforms
  • ELT and transformation tooling
  • Orchestration
  • Data quality tooling
  • Python
  • SQL

We work with the tools you already run.

Book a call

Tell us what you are trying to ship.

A 30 minute call with us. We will tell you plainly whether we can help.