Senior Data Engineer II (Hybrid)

The role focuses on building dependable data pipelines, warehouse models, and platform capabilities using technologies such as Snowflake, dbt, and Fivetran. The engineer will support enterprise data consumers across Finance, Sales, Operations, and other functions by delivering well-governed, trusted datasets. Responsibilities include strengthening testing, monitoring, observability, compliance controls, documentation, and development standards across the data platform. As a senior technical contributor, this person will guide architectural choices, improve production readiness, and coach less experienced engineers without having direct reports. It suits an experienced data or analytics engineer who combines strong technical judgment with effective collaboration, mentorship, and an interest in applying AI-enabled development tools.