Staff Analytics Engineer, Data Platform
Tasks
- Arbitrate KPI definitions with stakeholders
- Build canonical metric models
- Build reverse ETL pipelines
- Define semantic layer entities and metrics
- Design client side and server side event strategy
- Design query guardrails and authorization layer
- Enable self serve analytics dashboards
- Ensure GDPR compliant consent flows
- Expose data through MCPs semantic APIs and text to SQL
- Implement CDC and batch ingestion
- Implement column level security
- Implement data access governance with IAM
- Implement row level security
- Monitor data freshness and failures
- Optimize data ingestion patterns
- Own event taxonomy and tracking governance
- Publish ingestion SLAs and failure SLAs
- Standardize versioned data transformations
Perks/Benefits
- Flexible remote work
- Healthcare plan
- Quarterly all hands
- Stock options
- Stock options monthly vesting
- Swile meal card
- Swile mobility card
- Team events
Skills/Tech-stack
Airbyte | Apache Airflow | BigQuery | CDC | Census | Column-Level Security | DBT | Dagster | Data Ingestion | Data Modeling | Event taxonomy | Fivetran | GDPR | Hightouch | IAM | Instrumentation | Metrics layer | PII Tagging | Prefect | Python | Redshift | Reverse ETL | Row Level Security | SQL | Segment | Semantic layer | Snowflake | Text-to-SQL
Education
N/A
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