Data Solutions Architect
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Summary
Designs and builds data pipelines, warehouses, and integration layers using Python and SQL, and leads architecture discussions for data-driven applications.
- Build data pipelines and ETL processes
- Design data warehouse architectures
- Design scalable data integration layers
- Develop data processing solutions with Python and SQL
- Implement backend logic for data driven applications
- Integrate data sources for machine learning use cases
- Lead architecture discussions and solution design meetings
- Manage code review and delivery process
- Model data for analytics and reporting
- Prepare technical specifications and plan releases
- Work with stakeholders to gather requirements and project status
Perks/Benefits:
- Accommodation support
- Free breakfasts
- Hybrid work
- International projects
- No dress code
- Small teams
- Sports subscription
- Subsidized English classes
- Travel expenses coverage