Alchemy
Tech / AI / Software
DataAnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analytics Engineer at Alchemy. Skills: data engineering, SQL, Snowflake, dbt, analytical data models, data quality, AI data readiness. 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”
Industry & Context.
data quality instincts; track record of building infrastructure that unblocks teams
What They're Looking For.
Must Have
6+ years in data engineering, SQL, deep Snowflake expertise, Experience designing efficient, scalable analytical data models, Proficiency with dbt or comparable transformation frameworks, data quality instincts, track record of building infrastructure that unblocks teams, Good judgment — you scope well, prioritize ruthlessly, and communicate tradeoffs
Nice to Have
Experience in startups, a plus
What You'll Do.
Build and own the canonical data models in Snowflake that serve as Alchemy's company-wide source of truth — clean
Structure datasets so vendor AI tools perform optimally out of the box
with consistent schemas
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
Own the transformation layer (dbt)
with rigorous testing and validation so every downstream consumer — human or AI — can trust what they're working with
How You'll Work.
Team & Collaboration
strategic partner to Finance, Marketing, Sales, Product, and Data Science; ensuring every team can make decisions from a single source of truth; let internal teams query data conversationally; proactively serving team data needs at the platform level; freeing data science to move faster; every downstream consumer — human or AI — can trust what they're working with
Communication Scope
communicate tradeoffs
Process & Methodology
scope well, prioritize ruthlessly
Full Job Description
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 - Own the transformation layer (dbt), with rigorous testing and validation so every downstream consumer — human or AI — can trust what they're working with What We're Looking For: - 6+ years in data engineering with strong SQL and deep Snowflake expertise - Experience designing efficient, scalable analytical data models - Proficiency with dbt or comparable transformation frameworks - Strong data quality instincts and a track record of building infrastructure that unblocks teams - Good judgment — you scope well, prioritize ruthlessly, and communicate tradeoffs - Experience in startups, a plus Benefits & Perks 🏥 Medical, Dental, & Vision 💪 Gym Reimbursement 🖥️ Home Office Build-out Budget 🥙 In-Office Group Meals 🚅 Commuter Benefits 🌴 Flexible Time Off 🧘♂️ Wellbeing & Mental Health Perks 🧠 Learning & Development Stipend 🌎 Company Sponsored Confere
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