Principal Data Engineer
Tasks
- Architect future state data model and storage
- Build context entity graphs and metrics for AI agents
- Build real time event driven pipelines
- Build streaming architectures
- Conduct code reviews and provide technical mentorship
- Define data API contracts
- Design data models for new product lines
- Design service boundaries data ownership and storage patterns
- Design validation frameworks for data quality
- Drive technical alignment across engineering and product teams
- Enforce enterprise data dictionary and metadata strategy
- Ensure data integrity accuracy discoverability and synchronization
- Implement medallion architecture bronze silver gold layers
- Model critical domains and implement reusable patterns
- Own core business metrics reliability
- Write ship and maintain production code
Perks/Benefits
- 401k match
- Flexible work from home or in office
- Health benefits
- Learning and development budget
- Mentorship and coaching
- Paid parental leave
- Team discretionary budget for training
- Unlimited PTO
Skills/Tech-stack
Apache Airflow | Apache Kafka | Backwards Compatibility | CDC | Change Data Capture | DBT | Data APIs | Data Architecture | Data Capture | Data Dictionary | Data Modeling | Data Reconciliation | Data Validation | ELT | ETL | Feature Store | Fivetran | Liquibase | Medallion Architecture | Metadata Management | Modular Design | OpenMetadata | Python | Resilient systems | SQL | Snowflake | Streaming Data
Education
N/A
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