Enterprise Data Architect

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Enterprise Data Architect

Hybrid - 2 days per month, onsite, in Newark, NJ is required

The Data Architect defines enterprise data architecture standards, ingestion frameworks, and governance patterns to ensure high-quality, consistent data across the organization. This senior-level role focuses on creating reusable data models, exchange patterns, and quality frameworks. The Data Architect collaborates with data platform, integration, and governance teams to drive data modernization.

Key Responsibilities:

• Define data modeling standards and domain model frameworks.
• Create ingestion frameworks with schema validation, quality checks, and exception handling.
• Develop data exchange patterns for internal and third-party integrations.
• Establish data lifecycle, persistence, and master data management standards.
• Define data governance, privacy, and protection patterns.
• Build data quality frameworks and classification models.
• Develop modernization roadmaps and train architects on data patterns.
  
  

Qualifications:

• 12 years in data architecture or engineering.
• 5 years creating enterprise data standards and frameworks.
• Expertise in data modeling, ingestion pipelines, data exchange, and governance.
• Experience with cloud data platforms, data lakes, and warehouses.
• TOGAF, DAMA CDMP, and cloud data certifications preferred.
  
  

The Data Architect will deliver ingestion frameworks, data exchange patterns, and governance models that ensure trusted, scalable data across the enterprise. This is a strategic role for a Data Architect passionate about data quality and architecture excellence.