Designing Self-Healing Agentic Data Quality Pipelines in Azure: A Three-Tier Architecture, Bounded Remediation Model, and PySpark Implementation Pattern

This technical report presents a three-tier architecture for immutable ingestion, distributed deterministic validation, and bounded agentic remediation in Azure-oriented lakehouse environments. It includes an Azure service mapping, a corrected PySpark Structured Streaming implementation pattern, governance and feedback-loop controls, a security threat model, and a proposed empirical evaluation protocol. The report is presented as an engineering architecture and implementation blueprint. It does not claim completed production benchmarking or peer review. This report substantially expands an earlier practitioner article titled “Strategic Implementation of Agentic Data Quality Pipelines in Azure,” first published on Differ on June 3, 2026.