When an enhancement impacts the silver or bronze layers, how do you understand the chronology of events to determine which objects or jobs need to be monitored and adjusted when making changes to the gold or silver layers?

I start by mapping the data lineage: identify all downstream tables, views, and jobs that consume the affected silver or bronze layer. Tools like Databricks Unity Catalog or third‑party lineage engines can automate this. Once the dependency graph is clear, I assess the impact: does the change alter schema, data quality, or business logic? For schema changes, I ensure backward compatibility or plan a migration strategy. I then update the affected jobs, adding versioned notebooks or dbt models, and run regression tests. Monitoring is set up by adding alerts on job failures, data quality metrics, and latency thresholds. Finally, I document the change in a change‑log and communicate with stakeholders to validate that downstream consumers (e.g., BI reports) still function correctly.