Data Architect

TechDigital Group; New Jersey; Hybrid; USD 80,000 - 100,000; Full time

Job summary

A leading technology firm in New Jersey is looking for a Data Specialist who will be responsible for designing master and transactional data strategies, developing data integration and migration plans, and establishing data quality metrics. The ideal candidate should have experience in collaborating with stakeholders to assess data needs, ensuring information flow and compliance in a regulated environment. This role requires a deep understanding of data models and quality assurance practices, essential for maintaining high data standards.

Qualifications

• Experience in data model design and integration.
• Strong understanding of data migration strategies.
• Familiarity with data quality processes and metrics.

Responsibilities

• Understand and design master and transactional data strategies.
• Develop a data catalog and interface with other solutions.
• Establish data quality monitoring and control processes.
• Collaborate with users and engineers to gather requirements.

Skills

Data Model design

Data integration

Data migration

Data quality metrics

Stakeholder collaboration

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