Finance Data Architect
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About the role
Finance at Q2 operates on enterprise data that lives across a complex, multi-system landscape - Snowflake and beyond. This role exists because that data is not yet consistently usable. The Finance Data Architect closes that gap by owning two interconnected capabilities: building and governing finance-ready semantic models and curated datasets drawn from Q2's full data estate, and authoring the AI workflow infrastructure - skills files, agent prompts, MCP context layers, and documentation - that allows Finance to execute complex, recurring processes repeatably and at scale. This is a builder role, not a consumer role. The right candidate has done this work before: translating messy, distributed enterprise data into trusted, finance-ready outputs, and standing up agentic workflow patterns that hold up under real business conditions. The role sits within Finance and partners closely with Data/Architecture, Enterprise Solutions, and AI Enablement functions across Q2.