Data Engineer (Senior to Staff level)
Core
Architect, build, and maintain Sanity's data ecosystem including pipelines, integrations, and the warehouse to ensure reliable data ingestion, transformation, and availability for internal teams.
Role type
Senior to Staff Data Engineer
Builds
Data pipelines, integrations, data warehouse, telemetry systems, monitoring/alerting/logging infrastructure, and data quality frameworks
Domain
SaaS / Content Operations / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, dbt, workflow orchestration (Dagster, Airflow), ELT/event tooling (Airbyte, RudderStack), Google Cloud Platform (GCP), Terraform, Google Datastream, BigQuery
Preferred skills
AI-assisted development tools, platform-wide engineering standards, data security strategies
Technologies
dbt, Dagster, Airflow, Airbyte, RudderStack, Google Datastream, BigQuery, Terraform, GCP
Responsibilities
Architect and maintain data pipelines and warehouse; partner with engineering to scale product telemetry; build monitoring and alerting for pipeline health; implement SLAs/SLOs and data quality monitoring; optimize pipeline performance and cost; drive engineering standards and documentation; create strategies for data security and compliance
Seniority
Senior to Staff, hands-on IC with strategic project leadership
