Lead Data Platform Engineer: Snowflake, dbt & AI Enablement

Virtuous; Phoenix (AZ); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Market competitive pay

Unlimited PTO

401(k) retirement plan with company matching

Employer-contributed healthcare benefits

Job summary

A company focused on global generosity is seeking a Lead Data Platform Engineer to design and build systems that power their data ecosystem. The ideal candidate will have extensive experience with Snowflake and dbt, ensuring data accuracy and governance while enabling AI-powered insights. Responsibilities include architecting access controls and building CI/CD pipelines. The organization offers competitive pay, unlimited PTO, and a supportive work environment.

Qualifications

• 7+ years of experience in data engineering, platform engineering, or related infrastructure roles.
• Proven systems-thinking mindset, with the ability to reason about tradeoffs across correctness, access, cost, and speed.
• Clear communicator who can explain complex technical concepts to both technical and non-technical partners.

Responsibilities

• Design, build, and own systems that power our data ecosystem.
• Ensure our data platform is accurate, governable, and supports AI-enabled workflows.
• Architect and implement role-based access controls.

Skills

Deep expertise in Snowflake

Strong experience using dbt

Advanced SQL skills

Systems-thinking mindset

Clear communicator

Tools

Snowflake

dbt

Job description

A company focused on global generosity is seeking a Lead Data Platform Engineer to design and build systems that power their data ecosystem. The ideal candidate will have extensive experience with Snowflake and dbt, ensuring data accuracy and governance while enabling AI-powered insights. Responsibilities include architecting access controls and building CI/CD pipelines. The organization offers competitive pay, unlimited PTO, and a supportive work environment.