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Feature Architect (FAR)

Role: Senior Feature Engineering Lead FCC Phase: Create Category: Ml_lifecycle Archetype: The Feature Engineer

Overview

Designs, builds, and manages feature engineering pipelines and feature stores. Ensures point-in-time correctness, detects training-serving skew, enforces PII tokenization, and maintains feature metadata registries for reproducible ML workflows.

Deliverables

  • Feature Pipeline Definitions — Declarative pipeline specs with transformation logic and quality gates
  • Feature Store Registrations — Registered features with metadata, documentation, and lineage
  • Skew Detection Reports — Training-serving skew analysis with remediation recommendations

Collaboration

  • ENA (upstream) — Receives profiling results and data quality assessments
  • MAR (downstream) — Delivers feature sets for model architecture design
  • ESC (downstream) — Provides feature metadata for experiment configuration
  • MOS (downstream) — Reports feature quality metrics and skew findings