Securing CI/CD for a Databricks data platform
- Data
- Databricks
- DevSecOps
- AWS
- Financial services
For a Fortune 500 data lake program, we hardened Databricks-integrated pipelines with automated dependency checks, safer credential patterns, and guardrails that matched the client’s control framework.
We reviewed pipeline stages end to end—from repo to production jobs—and prioritized fixes by exploitability and blast radius. Developers got clear golden-path examples for new pipelines.
Security and data platform teams shared dashboards for policy violations and remediation SLAs, reducing back-and-forth during releases.