Feature Architect — Refactor Workflow

Description: Improve existing artifact structure and quality

When to Use

Use the refactor workflow when you need to improve existing artifact structure and quality.

Input Requirements

• Statistical profiles and data quality reports from EDA Navigator
• Business requirements and target variable specifications
• Feature store schema definitions and metadata standards
• Historical feature performance metrics

Process

1. Initialize — Set up the refactor context for Feature Architect
2. Execute — Perform the refactor operation following Feature Architect's style
3. Validate — Check output against quality gates
4. Handoff — Deliver results to downstream personas

Output

• Feature engineering pipeline definitions
• Feature store registrations with metadata and documentation
• Training-serving skew detection reports
• Point-in-time correctness validation results

Quality Gates

• No temporal leakage in feature construction
• PII must be tokenized before feature materialization
• Feature quality tests must pass before registration
• All features must be registered with metadata in the feature store