Data Governance & Lineage

We treat data governance not as a documentation exercise but as an engineering discipline. Compliance assertions, schema contracts, and lineage tracking are built directly into pipeline execution — not layered on top after the fact.

What We Deliver

• Automated Data Lineage — Column-level lineage tracking that traces every metric from its raw source through every transformation to its final reporting surface.
• Schema Contracts — Enforced interface definitions between data producers and consumers, preventing silent breaking changes from propagating downstream.
• Pipeline Quality Gates — Unit-test assertions embedded directly into transformation runs. Pipelines that fail data quality checks do not proceed to production.
• Data Catalog Integration — Structured metadata emission to catalog tools (dbt docs, DataHub, Atlan) so your teams can self-serve documentation without relying on tribal knowledge.

Our Approach

Governance failures are engineering failures. We instrument pipelines to surface anomalies immediately, not in retrospective audits. Our governance frameworks are owned by your team from delivery day one.

Typical Engagement Outcomes

Organizations we work with achieve full column-level lineage across all production tables, elimination of undocumented data assets, and passing compliance audits without manual evidence collection.