Principal Data Engineer
Tasks
- Align data products to roadmap priorities
- Build and operationalize data ingestion patterns
- Define customer data plane model
- Design data models for operational and analytics systems
- Enable AI automation with governed low latency data products
- Implement access methods for curated datasets and APIs
- Lead design and build cross product data services
- Own data reliability playbook
- Perform architecture reviews and mentor teams
- Power ML workflows with trusted datasets and feature outputs
- Productize customer facing data products
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Batch Processing | Data Auditing | Data Catalog | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Retention | Data Versioning | Feature Engineering | Google Cloud | IAM | Incident Response | Kafka | Lakehouse | Monitoring | OLAP | Open Table Formats | Open table | Orchestration | Python | RDS | SQL | Schema evolution | Streaming | Table formats
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
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