Data Architect (All genders)
Tasks
- Architect data platforms end to end
- Contribute to pre-sales activities
- Define data quality standards
- Design cloud-native data solutions
- Design data lakes and lakehouses
- Develop AI ready feature stores
- Develop capability and thought leadership
- Establish data governance frameworks
- Implement master data management
- Implement real-time streaming pipelines
- Manage metadata
- Mentor junior colleagues
- Own architecture decisions across projects
- Support production rollout
Perks/Benefits
- Discounts
- Flexible hours
- Free language courses
- Health benefits
- Health offers
- Hybrid work
- Job bikes
- Parental support
- Pension plan
- Public transport tickets
- Sabbaticals
- Supplementary insurances
- Training programs
- Workation
Skills/Tech-stack
AI/ML | AI/ML Platform | AWS | AWS DataZone | AWS Glue | AWS IAM | Agile | Apache Kafka | Apache Spark | Azure | Azure Event | Azure Event Hubs | Cloud Data | Cloud Data Platforms | Collibra | DBT | Data Architecture | Data Governance | Data Lake | Data Management | Data Modeling | Data Pipelines | Data Quality | Data Vault | Data mesh | Data platforms | Dimensional Modeling | Event Driven | Event Hubs | Event-driven architecture | Feature Store | Federated data | Federated data governance | LLM Data Pipelines | Lakehouse | ML platform | Master Data | Master Data Management | Metadata Management | Microsoft Purview | Python | Real Time | Real-time Streaming | Relational modeling | SAFe | SQL | Scrum | Spark Streaming | Streaming Architecture | Vector Database
Education
N/A
Roles
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