Lever to GoodData Integration
AI-first ETL from Lever into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Lever into GoodData
Datrise syncs Lever's candidates, opportunities, postings, interviews, offers, and feedback forms into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Lever: Applicant tracking and candidate relationship management.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Lever entities map to GoodData
| Lever entity | GoodData object | Notes |
|---|---|---|
| candidates | lever_candidates | id PK · custom fields → flattened columns |
| opportunities | lever_opportunities | id PK · linked to lever_candidates |
| postings | lever_postings | id PK · linked to lever_candidates |
| interviews | lever_interviews | id PK · linked to lever_candidates |
FAQ
How does Datrise handle Lever's custom fields in GoodData?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native GoodData types.
How does the Lever to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Lever
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