Improve Data Pipeline Delivery with DevOps

Context

ParcelFlow, a logistics SaaS company, runs 180 Airflow-managed ETL/ELT pipelines on AWS to move operational data from PostgreSQL, Kafka, and S3 into Snowflake. Releases are slow and error-prone: pipeline changes are deployed manually, infrastructure changes are tracked separately by DevOps, and failed releases often require ad hoc rollback.

You are asked to design a delivery model and technical architecture that improves collaboration between data engineering and DevOps so pipeline changes can be shipped safely, repeatedly, and with clear ownership.

Scale Requirements

• Pipelines: 180 production DAGs, 40 daily code changes, 10 infrastructure changes/week
• Data volume: 12 TB/day batch + 80K events/sec streaming peak
• Deployment target: <15 minutes from merge to production for low-risk changes
• Availability: 99.9% for critical ingestion pipelines
• Recovery: Rollback or forward-fix within 30 minutes
• Environments: dev, staging, prod across 3 AWS accounts

Requirements

1. Design a CI/CD process for Airflow DAGs, dbt models, and infrastructure-as-code with clear promotion gates.
2. Define how data engineers and DevOps share ownership of deployment standards, secrets, IAM, networking, and runtime operations.
3. Add automated validation for DAG syntax, unit tests, data contract checks, dbt tests, and environment-specific smoke tests.
4. Support safe deployment patterns for schema changes, backfills, and streaming job updates without duplicate loads.
5. Provide observability for deployment health, pipeline freshness, task failures, and infrastructure drift.
6. Ensure rollbacks are deterministic and do not corrupt downstream tables or replay data incorrectly.

Constraints

• AWS-first stack; no migration away from Airflow or Snowflake in the next 12 months
• Team: 6 data engineers, 2 DevOps engineers, shared on-call rotation
• Compliance: SOC 2; production access must be audited and least-privilege
• Budget: incremental tooling spend capped at $8K/month
• Existing pipelines must continue running during the transition