Enterprise AI & Data Architect
Tasks
- Architect AI deployment infrastructure
- Architect scalable data pipelines
- Create event-driven streaming architectures
- Define data flows and integration architectures
- Define data lake and lakehouse architectures
- Design enterprise-scale architectures
- Design real-time data synchronization
- Establish architecture standards and best practices
- Guide large-scale transformation programs
- Operationalize AI models into systems
- Translate business needs into technical architectures
Perks/Benefits
- Company car
- Corporate sports
- Employee discounts
- Extra days off
- Flexible working
- Health insurance
- Inclusive workplace
- Training and qualifications
Skills/Tech-stack
AI Model Integration | AI model | AI/ML | AI/ML Pipelines | Architectural Design | Change Data Capture | Cloud Data | Cloud Data Ecosystems | Communication | Data Architecture | Data Architectures | Data Capture | Data Ecosystems | Data Lake | Data Pipelines | Data Systems | Data integration | Distributed data | Distributed data systems | Lakehouse | ML pipelines | Model Integration | Real Time | Real-time Data | Real-time data architectures | Stakeholder management
Education
Roles
Architect | Cloud Data Architect | Cloud) | Data Architect | Data Engineer | Engineer | Principal | Principal Data Engineer | Solution Architect
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