Specification-driven composition for flexible data workflows

This article explains specification-driven composition, a design pattern that separates workflow intent from processing logic to address scalability challenges in data pipelines.

• Separates workflow intent from implementation using structured specifications (JSON/YAML) instead of embedding logic in scripts
• Reduces duplication and improves consistency by reusing transformation capabilities across multiple workflows
• Enables faster dataset onboarding and stronger governance through validated, traceable specifications
• Uses a capability registry to store metadata about reusable transformation functions with versioning and validation
• Implements pattern with AWS Lambda (composer), Step Functions (orchestration), S3 (specifications), and OpenSearch (capability metadata)
• Supports data classification and sensitivity tagging for regulated environments like healthcare and finance
• Allows domain users to author specifications without producing runnable code, maintaining separation of duties

Specification-driven composition enables organizations to manage data workflows consistently at scale with faster onboarding, improved traceability, and reduced engineering effort for new pipelines.