Position Overview

We are seeking a Data Governance Quality Analyst to monitor and embed data quality controls across the full data lifecycle from raw ingestion through bronze, silver, and gold medallion layers to consumption in reports, dashboards, and automated business processes.

You will work with business stakeholders to define quality rules, SLA thresholds, monitor, manage master data, maintain metadata and lineage catalogs, and partner with data engineers and business stakeholders to ensure every dataset is accurate, complete, timely, and trustworthy

Key Responsibilities Data Quality Ingestion Pipeline Layer
Design and work with data engineers to implement data quality validation checks within Azure Data Factory and Microsoft Fabric ingestion pipelines, covering completeness, accuracy, consistency, uniqueness, and timeliness dimensions.
Define critical-field SLAs (e.g., null-rate thresholds, duplicate tolerances, freshness windows) for each data source and account for data-dictionary revisions.




Provide feedback to data engineers to fine tune automated stop / alert / continue actions ensuring bad data does not propagate downstream.
Ensure data engineers implement escalation-aware alerting tied to business-critical deadlines where standard alert cadences must accelerate to prevent missed processing windows.
Support onboarding of recent data feeds within a target 45-day window, including definition of quality rules and acceptance criteria for each current source.

Data Quality Transformation Gold Layer
Author and maintain data quality rules applied during medallion-architecture transformations (bronze silver gold), including cross-source reconciliation checks for journal entry automation (Accrued Wages, Ending Inventory, Sales Recap, Transfers, etc.).
Validate standardized formats and account mappings after transformation; flag and escalate anomalies (e.g., missing GL mappings, orphaned store records, mismatched payroll GL identifiers).
Implement auto

📌 Data Governance Mumbai (India)
🏢 Carnation Infotech
📍 India