Principal Data Platform Engineer
Tasks
- Architect semantic layers and governed datasets
- Define API led event driven batch patterns
- Define certified versus exploratory analytics policies
- Define data platform strategy
- Deliver data catalog and data dictionary frameworks
- Design Lakehouse architecture
- Drive data platform roadmap
- Enable ML feature engineering pipelines
- Enable reuse of data assets for AI use cases
- Enable self-service BI and analytics
- Establish data governance standards
- Govern data quality lineage security
- Lead integration architecture
- Optimize performance and cost
- Standardize monitoring and metadata capture
- Support MLOps best practices
Perks/Benefits
- 401k matching
- Dental insurance
- Employee appreciation events
- Employee assistance program
- Hybrid work arrangement
- Medical insurance
- Paid Holidays
- Paid vacation
- Prescription Coverage
- Profit sharing
- Sick time
- Vision insurance
Skills/Tech-stack
ABAC | API | Batch Processing | DBT | Data Architecture | Data Catalog | Data Governance | Data Modeling | Data Security | Data integration | ELT | ETL | Event Driven | Event-driven architecture | Feature Engineering | Fivetran | Lakehouse | MLOps | Machine Learning | Metadata Management | RBAC | Semantic layer | Snowflake
Education
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