Enterprise Data and AI Architect, Vice President
New Jersey Office - 210 Hudson Street, United States
R
USD 172K-191K Senior-level Full Time
Tasks
- Architect AI-ready data foundations
- Define data quality and governance architectures
- Define integration patterns
- Define metadata standards and knowledge graph frameworks
- Design API and event driven architectures
- Design business aligned data products
- Design scalable enterprise data platforms
- Develop architecture templates standards and guidelines
- Develop semantic models and ontologies
- Enable retrieval-augmented generation
- Enable semantic search
- Ensure enterprise strategy risk and compliance alignment
- Establish metadata management and data lineage
- Implement Change Data Capture
- Implement ETL and ELT
- Participate in Architecture Review Boards
- Provide hands on guidance to delivery teams
- Set architecture standards and reference models
- Support explainable AI patterns
Perks/Benefits
- Educational assistance
- Healthcare benefits
- Hybrid work schedule
- Paid Holidays
- Paid maternity and parental bonding leave
- Paid sick days
- Paid vacation
- Retirement plans
- Training programs
Skills/Tech-stack
API | AWS | Architecture Review | Architecture Review Boards | Azure | CI/CD | Change Data Capture | Cloud Platforms | Cloud platform | Data Architecture | Data Capture | Data Federation | Data Governance | Data Lakehouse | Data Lineage | Data Products | Data Quality | Data Warehouse | Data mesh | Data platform | Databricks | ELT | ETL | Enterprise Architecture | Event Driven | Event-driven architecture | Explainable AI | Generative AI | Google Cloud | Google Cloud Platform | Information Architecture | Infrastructure as Code | Knowledge graph | MLOps | Machine Learning | Metadata Management | Ontology | Retrieval-Augmented Generation | Semantic Modeling | Semantic Search | Snowflake | Streaming | “as-code”
Education
N/A
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