Implement data validation, cleansing, reconciliation, and governance frameworks to ensure accuracy and consistency of identity-related data
Design and optimize data models, data lakes, and warehouse structures to support identity analytics, access reviews, compliance reporting, and audit requirements
Design and implement solutions using Azure Data Factory, Databricks, SQL, Spark, or equivalent cloud-native data platforms
Optimize ETL/ELT processes, automate data workflows, and improve pipeline reliability, scalability, and monitoring
Ensure data engineering solutions comply with security standards, privacy regulations, audit requirements, and enterprise IAM policies
Work closely with IDM architects, security teams, application owners, and business stakeholders to define data requirements and deliver enterprise identity data solutions
Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements