Principal Engineer, Platform Analytics
Tasks
- Apply dimensional data modeling
- Build OLAP serving layer behind analytics API
- Build and operate ELT pipelines
- Communicate technical direction and tradeoffs
- Curate and model conformed datasets
- Define metrics with dbt
- Design build and operate data pipelines
- Design build and operate serving layers
- Ensure production performance reliability and cost
- Ingest entity and reference data into Snowflake
- Ingest events into Snowflake
- Manage metadata and data quality
- Mentor engineers and set technical standards
- Monitor and alert production systems
- Orchestrate production data pipeline workflows
- Own platform analytics architecture
- Tune queries and manage resources
Perks/Benefits
- Comprehensive medical coverage
- Inclusion and belonging
- Professional development funds
- Remote flexibility
- Unlimited PTO
- Wellness reimbursement
Skills/Tech-stack
Alerting | Analytics API | Apache Airflow | CDC | CI/CD | Change Data Capture | ClickHouse | DBT | Data Capture | Data Modeling | Data Quality | Data Warehousing | Dimensional Modeling | ELT | Git | Kafka | Metadata Management | Monitoring | OLAP | Performance Tuning | Redis | SQL | Snowflake
Education
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