AI-Driven Data Platform Engineer (Snowflake & dbt)
Alchemy
San Francisco (CA)
On-site
USD 200,000 - 240,000
Full time
14 days+
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Benefits offered by this job
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 Conferences & Events
HSA and FSA Plans
Fertility Benefits
Job summary
Alchemy is seeking a Data Engineer to build and manage data models in Snowflake, enabling AI-driven decisions company-wide. The ideal candidate has over 6 years in data engineering with strong SQL skills and extensive experience in Snowflake. Responsibilities include creating optimal data structures, ensuring data quality, and facilitating conversational queries. The position offers a competitive salary range of $200,000 to $240,000 annually, alongside comprehensive benefits like medical coverage, flexible time off, and workplace perks.
Qualifications
6+ years in data engineering with strong SQL and deep Snowflake expertise.
Experience designing efficient, scalable analytical data models.
Responsibilities
Build and own the canonical data models in Snowflake as the source of truth.
Structure datasets for optimal performance with vendor AI tools.
Explore and prototype integrations for conversational data querying.
Eliminate shadow tables by serving team data needs proactively.
Own the transformation layer (dbt) with rigorous testing.
Skills
SQL
Snowflake expertise
Data engineering
Job description
Alchemy is seeking a Data Engineer to build and manage data models in Snowflake, enabling AI-driven decisions company-wide. The ideal candidate has over 6 years in data engineering with strong SQL skills and extensive experience in Snowflake. Responsibilities include creating optimal data structures, ensuring data quality, and facilitating conversational queries. The position offers a competitive salary range of $200,000 to $240,000 annually, alongside comprehensive benefits like medical coverage, flexible time off, and workplace perks.