Your Day-to-Day:
• Assess the current data quality framework across Azure data platforms and perform a full audit of existing controls
• Review existing data quality checks and identify improvement opportunities for short and medium-term objectives
• Design and implement scalable data quality frameworks across Azure environments
• Define business and technical data quality rules (completeness, consistency, accuracy, traceability, freshness, uniqueness)
• Deploy automated data quality controls during data ingestion processes
• Improve data monitoring, alerting, and rejection workflows for both technical and functional issues
• Implement automated reporting and dashboards to monitor data quality KPIs
• Leverage Azure services such as Synapse, Data Lake, Data Factory, and Purview to improve governance and control capabilities
• Explore and implement AI-driven data quality capabilities such as anomaly detection, threshold mon...