Lead Data Engineer, Data Platform
San Francisco, California, United States
USD 170K-200K (estimate) Senior-level Full Time
Tasks
- Build ingestion transformation and pipelines
- Build self serve dashboards and reusable datasets
- Create semantic models and metric definitions
- Design data warehouse and lake architecture
- Ensure data security access control and PII handling
- Establish trusted source of truth metrics
- Implement data quality checks and monitoring
- Improve instrumentation event taxonomy and telemetry coverage
- Manage lineage alerting and backfills
- Optimize warehouse and query efficiency
- Own data platform end-to-end
- Partner on analysis for product and customer decisions
- Rationalize existing data estate
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Alerting | Backfills | BigQuery | Cube | DBT | Data Contracts | Data Freshness Monitoring | Data Lineage | Data Modeling | Data Quality | Data freshness | Event taxonomy | Freshness Monitoring | Looker | Metabase | Metric Definitions | OpenTelemetry | PII handling | PostgreSQL | Python | Redshift | SQL | Semantic Modeling | Snowflake | Warehouse optimization
Education
N/A
Roles
Analytics | Analytics Engineer | Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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