Data Architect: Master Data & Quality
Listed on 2026-10-28
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IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Information & Knowledge Management
Must haves - Data Model design/integration/migration/data quality exposure as Data specialist
JD:
1. Data Model Design:
Understand vendor data model, design the master data and transactional data strategy in alignment with enterprise data lake paradigm
2. Data Integration:
Develop data catalog & dictionary for the applications in scope and interface with integrations with other solutions/ middleware / data lake..
3. Data Migration:
Develop data mapping and migration strategy from document-based and/ or legacy content to application
4. 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
5. Information Flow:
Analyze data needs for Integration, document data mapping as needed by integrations and update process / data owners
6. Collaborate with stakeholders:
Work with business users, data engineers, and other stakeholders to gather requirements and establish data needs
7. Documentation:
Update any documentation needed by Kenvue CSV, SDLC and/or Digital Processes
8. Quality Assurance and Quality Control in GxP setting
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