Data Analytics Engineer

The Role

This role sits at the frontier of how AI consumes and acts on internal company data. You'll be the data layer for the entire company — a strategic partner to Finance, Marketing, Sales, Product, and Data Science — designing the clean, trusted datasets that power our AI tooling and ensuring every team can make decisions from a single source of truth. You'll explore how technologies like MCP can unlock self-serve AI data access across the org, and ensure that as we adopt new AI capabilities, our data is ready to meet them. The rest of the company's AI ambitions run through you.

What You'll Do:

• Build and own the canonical data models in Snowflake that serve as Alchemy's company-wide source of truth — clean, queryable, and AI-ready

• Structure datasets so vendor AI tools perform optimally out of the box, with consistent schemas, rich semantics, and well-indexed access patterns

• Explore and prototype MCP integrations that let internal teams query data conversationally

• Eliminate shadow tables and one-off datasets by proactively serving team data needs at the platform level, freeing data science to move faster