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Data Systems Analyst

📅 Apr 1
Data EngineeringSQLSnowflakeData Modeling

📜 Description

  • 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
  • Own the transformation layer (dbt) with rigorous testing and validation for trust in data

🛠️ Requirements

  • 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 in scoping, prioritizing, and communicating tradeoffs

Benefits

  • 🏥 Medical
  • Dental
  • & Vision
  • 💪 Gym Reimbursement
  • 🖥️ Home Office Build-out Budget
  • 🚅 Commuter Benefits
  • 🌴 Flexible Time Off
  • 🧘‍♂️ Wellbeing & Mental Health Perks
  • 🧠 Learning & Development Stipend

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