Data Architect

Must Haves Data Model design/integration/migration/data quality exposure as Data specialist Job Description Data Model Design: Understand vendor data model, design the master data and transactional data strategy in alignment with enterprise data lake paradigm Data Integration: Develop data catalog & dictionary for the applications in scope and interface with integrations with other solutions/ middleware / data lake Data Migration: Develop data mapping and migration strategy from document-based and/or legacy content to application Data Quality Process Alignment: Develop Data Quality metrics and KPIs in partnership with named data stewards. Establish data quality monitoring and control process for maintaining data quality Information Flow: Analyze data needs for Integration, document data mapping as needed by integrations and update process / data owners Collaborate with stakeholders: Work with business users, data engineers, and other stakeholders to gather requirements and establish data needs Documentation: Update any documentation needed by Kenvue CSV, SDLC and/or Digital Processes Quality Assurance and Quality Control in GxP setting J-18808-Ljbffr