Senior Data Platform Engineer
Tasks
- Build BI views and dashboards
- Design and deploy data pipelines
- Develop DBT transform layer
- Enable teams to self serve with reusable models and tooling
- Establish AI assisted data workflow best practices
- Improve reliability scalability and observability
- Lead company level data analyses
- Maintain DBT project and business datasets
- Maintain metric definitions and documentation
- Manage data pipeline cost and performance
- Onboard analysts to warehouse best practices
- Operate Airflow on Kubernetes
- Own data ingestion layer
- Right size compute workloads
- Run ingestion and DBT workloads
- Scale pipelines to BigQuery
- Write data quality tests snapshots and documentation
Perks/Benefits
- 401k plan
- Annual company event
- Dental insurance
- Equity award
- Flexible time off
- Health insurance
- Mental health resources
- Paid parental leave
- Vision insurance
- WFH equipment stipend
Skills/Tech-stack
Apache Airflow | BigQuery | CI/CD | Cloud Run | DBT | Data Modeling | Data Quality | Data Testing | Docker | Docker Compose | ETL | GKE | GraphQL | Incremental loading | Kafka | Kubernetes | Observability | Pagination | Pulumi | REST | RETL | SQL | Schema drift | Terraform
Education
N/A
Regions
Countries
States
Cities
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