Senior Data Platform Engineer, Snowflake
Tasks
- Build platform observability dashboards and alerting
- Configure masking policies row access policies object tagging and network policies
- Define SLOs for reliability freshness and cost
- Design Snowflake account warehouse and object architecture
- Document architecture decisions patterns and runbooks
- Implement Iceberg and external tables for lakehouse interoperability
- Implement Snowflake RBAC least privilege security controls
- Implement Snowflake objects roles and policies using Terraform
- Integrate Snowflake with IdP for SSO and SCIM
- Integrate with Airflow and dbt Cloud orchestration
- Lead incident response for platform issues
- Manage Fivetran and Airbyte connector deployments
- Manage service accounts and key rotation
- Operate database CI CD using Schemachange and Liquibase
- Operate ingestion pipelines using Snowpipe and Streams Tasks and Kafka Connector
- Own Snowflake data platform engineering
- Translate architecture and governance into production Snowflake environment
- Tune performance with clustering search optimization materialized views and query profiling
Perks/Benefits
Skills/Tech-stack
AWS | Access policies | Airbyte | Airflow | CI/CD | Clustering | DBT | DBT Cloud | External tables | Fivetran | IAM | Iceberg | Incident Response | Ingestion | Kafka | Kafka Connector | Key rotation | Least Privilege | Liquibase | Masking policies | Materialized views | Network policies | Observability | Python | Query profiling | RBAC | Row Access | Row access policies | Runbooks | SCIM | SLOs | SQL | SSO | Schemachange | Search Optimization | Service accounts | Snowflake | Snowpipe | Streams | Tasks | Terraform
Education
N/A
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