Enterprise Data Architect

Enterprise Data Architect
Hybrid - 2 days per month, onsite, in Newark, NJ is required
At this time, we are not considering any Third-Party candidates. Please do not contact/apply.

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:
- Healthcare experience is required. Healthcare payer experience strongly preferred.
- 10+ 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.
- Experience presenting to VPs and C Level/Senior Management
- Excellent communication and presentation skills

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.