Data & AI Architect
Tasks
- Communicate complex technical concepts to stakeholders
- Define AI usecase evaluation and approval
- Define and enforce data standards
- Define and implement ethical responsible and secure AI guidelines
- Define best practices for data pipelines model implementation lifecycle management
- Define data lifecycle policy
- Design enterprise data architecture
- Guide AI experiments and proof of concept initiatives
- Improve data governance and quality frameworks
- Lead modernization of data architecture
- Maintain data models pipelines platforms integrations
- Monitor data architecture and AI trends
- Promote data driven AI enabled culture
- Support data owners with data security accessibility compliance
Perks/Benefits
- Bonus for referrals
- Company laptop
- Company phone
- Employee discounts
- Healthcare discounts
- Home working
- Home-office allowance
- Mobility budget
- Paid time off
- Pension contribution
- Training and development
- Work-life balance
Skills/Tech-stack
AI Foundry | AI Governance | AI Use Cases | AI ethics | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | BPMN | Business Process | Business Process Management | Cloud Data | Cloud Data Platforms | Data Architecture | Data Compliance | Data Factory | Data Governance | Data Lakehouse | Data Management | Data Modeling | Data Pipelines | Data Quality | Data Security | Data Standards | Data integration | Data platforms | EAM | Ecosystem design | Enterprise Architecture | Machine Learning | Microsoft Purview | Process Management | Real Time | Real-time Data | Repository Management | Snowflake | Use cases
Education
Roles
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