Data Architect

TechDigital Group; Lafayette Mills (NJ); Hybrid; USD 65,000 - 95,000; Full time

Job summary

A technology services firm located in New Jersey is seeking a Data Specialist to design data models, develop integration and migration strategies, and ensure data quality. The role necessitates collaboration with stakeholders to gather requirements and documentation updates in compliance with organizational processes. Ideal candidates will have a strong background in data quality metrics, data integration, and documentation within a GxP setting.

Qualifications

• Experience with data model design and integration.
• Proficient in developing data quality metrics.
• Strong collaboration skills with various stakeholders.

Responsibilities

• Understand and design the master data and transactional strategy.
• Develop data catalog and dictionary for applications in scope.
• Create data mapping and migration strategies.
• Align data quality processes with established metrics.
• Document data mappings and analyze integration needs.
• Collaborate with stakeholders to gather data requirements.
• Update documentation per compliance needs.
• Ensure quality assurance in GxP settings.

Skills

Data Model design

Data migration

Data quality metrics

Collaboration with stakeholders

Documentation skills

Job description

Must Haves

Data Model design/integration/migration/data quality exposure as Data specialist

Job Description

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