Production pipeline engineering on Databricks
Databricks' professional data engineering credential covers pipeline architecture, streaming, reliability, and security for engineers who operate production workloads on a lakehouse platform.
Who it suits
Fits experienced data engineers whose pipelines run, or will run, on Databricks. A sensible comparison point for teams choosing between the two platforms.
Key differences
- It is built around the Databricks ecosystem and Spark-based processing instead of Snowflake-native ingestion and transformation features.
- Reliability, performance, and security of running pipelines get explicit attention, much like the Snowflake exam, but through Databricks tooling.
- Both are written exams aimed at experienced engineers, so the main trade-off is platform fit rather than depth.
- Level
- Professional
- Assessment
- Written
- Study time
- 80-140h
- Listed from
- $200