AI Data Architect (m/f/d)
Tasks
- Define and enforce data governance frameworks
- Define end to end data architecture for AI solutions
- Design data foundations for compound AI systems
- Establish data modelling standards and semantic layers
- Evaluate emerging technologies and define platform roadmap
- Provide technical leadership for data engineering and data science
- Set architectural guidelines for scalable data platforms
- Stay current with data architecture AI and cloud best practices
Perks/Benefits
- Additional paid days
- Flexible work schedule
- Home office option
- International projects
- Learning and development
- Relocation assistance
Skills/Tech-stack
AWS | Access Control | Agentic AI | Agile | Anonymization | Apache Airflow | Apache Kafka | Apache Spark | Asynchronous programming | Asyncio | Azure | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Platform | CI/CD | CI/CD for ML | Celery | Cosmos DB | Data Lakehouse | Data Lineage | Data Privacy | Data Quality | Data Security | Data Warehousing | Data masking | Data mesh | Data platform | Database Modelling | Databricks | Distributed Systems | Docker | Embedding pipelines | Encryption | Event Driven | Event-driven architecture | GDPR | GitHub Actions | Graph Database | Graph Databases | Graph database modelling | GraphRAG | Kanban | Kubernetes | LLM orchestration | Lakehouse | Lifecycle Management | MLOps | Medallion Architecture | Microservices | Model Lifecycle | Model Lifecycle Management | NoSQL | Object storage | Prompt engineering | Prompt orchestration) | Python | RAG | RabbitMQ | SQL | Scrum | Vector Databases | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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