Expert data quality – plateformes microsoft azure

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 monitoring, automated rule generation, and correction proposals
• Work closely with business teams to translate operational needs into measurable quality controls
• Lead workshops with stakeholders to define future-state data quality strategies
• Support deployment of new controls identified by the Chief Data Office
• Ensure documentation and knowledge transfer to internal teams

Your Profile:
• Strong experience in Data Quality architecture and governance
• Proven expertise in Azure Data environments (Azure Synapse, Data Lake, Data Factory, Purview)
• Strong experience with data quality frameworks, controls, and KPI monitoring
• Experience implementing automated monitoring, alerting, and remediation workflows
• Good understanding of AI use cases applied to data quality management
• Strong experience in data profiling and anomaly detection
• Experience working in financial services or asset management environments is a strong asset
• Strong stakeholder management and workshop facilitation skills
• Ability to translate business needs into technical solutions
• Strong documentation and knowledge transfer capabi