The position involves monitoring and operating data pipelines using a stack that includes HVR, Prefect, dbt, Snowflake, Materialize, and Kafka. The role requires responding to alerts, leading incident workflows, diagnosing data quality issues, and ensuring operational readiness. Additionally, the candidate will maintain and enhance runbooks, implement observability, optimize multi-cloud infrastructure, and provide support for BI developers and analysts. The role also includes contributing to SLA dashboards and defining on-call schedules for 24/7 support.