Data Engineering for Finance: Pipelines That Reconcile to the Trial Balance

A company builds data pipelines from the ERP to the analytics platform. The pipelines work fine during the month. During close, they break. The reasons: the close process includes adjusting journal entries that post after the pipeline's daily extract, the intercompany elimination entries change the GL totals the pipeline expects, the FP&A team reclassifies accounts during the close that changes the hierarchy the pipeline maps to, and the planning team uploads the forecast mid-close which creates a timing conflict with the actuals load. Each of these is a normal part of the financial close. Generic data engineering that doesn't understand the close process treats each one as an unexpected failure.

Finance data engineering done right is close-aware from the start. Pipeline scheduling that knows the close calendar — daily extracts during the month, multiple extracts during close week to capture adjusting entries, a final extract after the close is confirmed. Hierarchy management that handles the mid-close reclassifications the FP&A team makes. Planning tool integration that handles the forecast refresh timing. And the trial balance reconciliation that runs after every load and surfaces any variance before anyone uses the data. Done with this close awareness, the pipelines support the close instead of breaking during it.