Lead Data/AI Engineer
Tasks
- Build Amplitude charts funnels dashboards
- Build ELT pipelines
- Contribute to semantic layer
- Debug identity resolution issues
- Define typed event schema
- Deliver data marts for recommendations
- Design tracking plans
- Implement data quality tests
- Implement data security governance
- Maintain dbt models
- Optimize Snowflake costs
- Own event pipeline from Segment to Amplitude and Snowflake
- Provide governed data for AI features
- Set up observability and alerting
- Troubleshoot pipeline failures
- Upgrade orchestration and dbt versions
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible PTO
- Growth opportunities
- Health insurance
- Holiday schedule
- Life insurance
- Mental Wellbeing Options
- Retirement savings plan
- Vision insurance
Skills/Tech-stack
AWS | Access Controls | Airbyte | Airflow | Alerting | Amplitude | Azure | BI | CI/CD | DBT | Dagster | Data Governance | Data Quality | Data Quality Testing | ELT | Experimentation | Fivetran | GCP | Git | GitHub Actions | Identity Properties | Identity resolution | Looker | Observability | PII handling | Prefect | Python | Quality testing | Reverse ETL | SQL | Segment | Semantic layer | Sigma | Snowflake | Tableau | Tracking plans
Education
N/A
Roles
AI Engineer | Data Engineer | Engineer | Lead | Lead AI Engineer | Lead Data | Lead Data Engineer
Regions
Countries
States
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