Sr. Snowflake Data Engineer with DevOps

Role : Sr. Snowflake Data engineer with Devops Location : Remote What You’ll Be Working On: ● Ingesting raw infrastructure and monitoring data from tools such as: ○ DC Track, NetBox, Shipyard, Kentik, ThousandEyes, Electric Eel ○ PagerDuty, Sentry, internal alerting systems ● Modeling and transforming that data within Snowflake to support consistent analytics ● Building data models and views to support: ○ GPU and CPU capacity snapshots (hourly, daily, weekly) ○ Real-time and historical Top-K alert and response visibility ○ Signal-to-noise metrics, SLA tracking, and incident traceability ● Enabling visualization through Looker and Grafana for different stakeholder audiences ● Supporting “What-If” modeling scenarios for forecasting infrastructure runway What We’ll Expect From You: ● Build scalable data pipelines to collect and transform structured and unstructured operational data ● Define Snowflake schemas and transformation logic to support current and future reporting use cases ● Collaborate with engineering, SRE, Capacity, and operations teams to align on source systems and field mappings ● Support interim manual data ingestion efforts while longer-term automation is developed ● Proactively identify data quality issues and improve reliability of dashboard inputs ● Move fast, iterate weekly, and help validate early dashboard concepts into production-grade systems Skills & Experience: ● Strong experience with Snowflake (or similar cloud data warehouse platforms) ● Proficient in SQL and data modeling best practices ● Experience building data pipelines using Python, dbt, or similar tools ● Familiarity with Looker, Grafana, or other BI tools for dashboarding ● Experience working with infrastructure, alerting, or monitoring systems is a strong plus ● Ability to work in an iterative, fast-paced environment with minimal oversight ● Strong communication and collaboration skills, particularly with distributed teams