Hybrid Opportunity || Data Architect || Newark, NJ || Contract

Job Title :

Data Architect Location:

Newark, NJ- Hybrid Mode of Hire:

Contract Job Description:

: Define enterprise data architecture standards, create data exchange and ingestion frameworks, establish data quality and governance patterns, and develop data domain models and templates that ensure consistent, high-quality data across the organization. This role creates enterprise data patterns and frameworks, not operational data solutions.

Data framework architect:

Design the data ingestion framework with schema validation, quality checks, and exception handling used enterprise-wide Data quality champion: Embed quality into frameworks at ingestion, not as afterthought Exchange pattern owner: Create the patterns for internal and third-party data exchange Strategic partnership: Collaborate closely with Data Platform Enablement team (they operate the platform, you create the patterns) : Enterprise Data Standards & Patterns (40%) Help define enterprise data modeling standards (conceptual, logical, physical, dimensional models) Create data domain model standards with quality framework integration Define data architecture patterns for common scenarios (OLTP, OLAP, streaming, hybrid) Document data persistence patterns (SQL vs NoSQL selection, data lake vs warehouse, caching) Create master data management patterns and reference data standards Establish data lifecycle management standards (retention, archival, purging) Data Exchange & Ingestion Frameworks (35%) Design enterprise data ingestion framework: Central pipeline architecture for all data ingestion (batch, streaming, real-time) Schema validation framework (enforce schemas at ingestion, schema registry) Data quality validation framework integrated into pipeline (completeness, accuracy, consistency, timeliness) Exception handling framework (quarantine, alerts, remediation workflows) Data lineage tracking through ingestion pipeline Create data exchange patterns for: Internal system-to-system data sharing Third-party data exchange (inbound/outbound):

SFTP/API

patterns, data format standards, partner onboarding templates, data contract templates Real-time vs batch exchange criteria Additional responsibilities: Define data integration patterns (ETL, ELT, streaming, CDC, data virtualization) Establish data API standards (data services, data APIs vs transactional APIs) Data Quality & Governance Frameworks (15%) Create enterprise data quality framework (quality dimensions, metrics, rules by domain, monitoring, remediation) Define data governance patterns (stewardship model, cataloging standards, metadata management, lineage and impact analysis) Establish data privacy and protection patterns (PII handling, encryption, masking, tokenization) Document data classification framework (public, internal, confidential, restricted) Roadmap & Enablement (10%) Develop enterprise data architecture modernization roadmap Train solution architects on data patterns and frameworks Review solution architectures for data pattern compliance Coordinate with Data Platform Enablement team on platform capabilities vs patterns Participate in data governance forums

Education:

Bachelor's degree in computer science, Information Systems, Data Science, or related field

Experience:

12+ years in data architecture, data engineering, or enterprise architecture 5+ years creating enterprise data standards, frameworks, and patterns Proven experience designing data ingestion frameworks with quality and governance Experience with data exchange patterns for internal and external parties Track record establishing canonical data models and data governance frameworks Certifications (Preferred): TOGAF certification Cloud data platform certification (AWS Data Analytics, Azure Data Engineer, Google Cloud Data Engineer)

DAMA CDMP

(Certified Data Management Professional) Data governance certification

Preferred Qualifications:

Experience in healthcare or financial services with complex data exchange requirements Track record implementing data quality frameworks at enterprise scale Experience with third-party data exchange and partner onboarding Published thought leadership on data architecture or data quality Experience with data privacy regulations (HIPAA, GDPR, CCPA) PSRTEK is a reputed technology recruitment and IT staffing brand with a global footprint and an admired client base. As an ideas and innovation powerhouse with a culture of excellence, we bring remarkable expertise and deliver powerfully transformative results.