Enterprise Data & AI Architect
Tasks
- Collaborate with IT governance and architecture review forums
- Define data architecture patterns
- Design AI ready data security access controls
- Develop lakehouse warehouse design standards
- Enforce RBAC least privilege encryption auditing
- Ensure data reliability security scalability usability
- Establish data governance and compliance controls
- Govern data ingestion lineage metadata
- Guide emerging data and AI technology adoption
- Lead and mentor individual contributors
- Manage platform tooling roadmap reliability scalability delivery speed
- Review architecture design and technical standards
- Support data integration APIs events file interfaces
- Work in Agile Scrum with DevOps and CI CD practices
Perks/Benefits
- 401k match
- Adoption Assistance
- Defined benefit pension plan
- Employee Credit Union
- Flexible hybrid work schedule
- Health savings account
- Health/Dental/Vision
- Paid Holidays
- Paid time off
- Tuition assistance
- Wellness program
Skills/Tech-stack
AI Ready | AI-Ready Data | API Integration | Agile | Auditing | Azure DevOps | CI/CD | Cloud Native | Data Architecture | Data Classification | Data Governance | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data Warehouse | DevOps | Dimensional Modeling | Encryption | Event Streaming | Feature Reuse | Git | Lakehouse | Least Privilege | Lifecycle Management | MLOps | Machine Learning | Metadata | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Prompt/version control | RBAC | Scrum | Semantic models | Version control
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