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Snowflake / Databricks Community Advisor (City-Based | Revenue Share non-Salaried | Technical or Techno Functional)

Sharp Source ITUnited States🇺🇸United StatesPosted 8 Sept 2026

Why This Role Stands Out

This hybrid role offers a unique revenue-sharing opportunity to become a trusted advisor within the Snowflake and data community, allowing you to leverage your technical expertise and build valuable relationships. If you thrive on engaging with fellow data professionals and enjoy exploring innovative solutions, this is an exciting chance to drive impact and grow your network.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
2 days ago
SnowflakeOnboardingOutreach

Job Description

**Please read the description - We are trying something new and are seeking to work with someone on an outcome based model.**

We are trying a unique experiment for our client that is a start-up. Instead of taking funding from VCs, they know their technology is robust, and would rather share in their revenue with individual advisors.

Our Client is an AI-powered Snowflake optimization platform focused on FinOps, warehouse efficiency, and AI workload governance. They work with enterprise Snowflake teams to uncover inefficiencies and provide data-driven optimization insights.

They are expanding our presence in major U.S. cities through a selective group of technically credible community advisors.

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## About the Role

We are seeking Snowflake or Cloud DW knowledgable individuals to represent the firm within their local Snowflake and data communities.

This is not a quota-carrying sales role.

This is a relationship-based, ecosystem-embedded advisory opportunity for technical or semi-technical professionals who:

Understand Snowflake or similar Cloud DW architecture
Enjoy engaging with other data professionals
Are active (or willing to be active) in local Snowflake events
Want flexible, performance-based upside

Ideally the indivudal will attend Snowflake meetups, summits, and community gatherings in their city, build relationships, and surface opportunities where Snowflake optimization conversations make sense.

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## What the Data Engg will do:

Attend local Snowflake / data engineering events
Engage in peer-level technical conversations
Understand how organizations are thinking about Snowflake cost and AI workloads
Introduce qualified opportunities to our Client
Facilitate warm introductions for technical diagnostics

You will not be responsible for:

Running demos
Pricing negotiations (unless you want to)
Hard selling (Absolutely no hard selling. Reddit rules)
Cold mass outreach (We will be happy to provide helpful lists. You won''t have to find them)

Our leadership team handles all formal diagnostics and technical validation.

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## Ideal Background

3+ years working with Snowflake or similar technology (engineering, architecture, consulting, or optimization)
Experience with warehouse tuning, cost governance, or FinOps is a strong plus
Comfortable discussing technical systems with peers
Reasonably extroverted :)
Entrepreneurial or independent mindset

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## Compensation

This is a performance-based revenue share opportunity.

Advisors receive a very generous percentage of revenue from qualified opportunities that convert to clients. Specific details will be discussed during the selection process.

Top-performing advisors may be considered for expanded roles or long-term engagement as the company scales.

We are experimenting with this pilot program to begin with

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## Why This Role Is Unique

Flexible, part-time engagement
No quotas or micromanagement
Participate in an AI + FinOps growth company at an early stage
Leverage your Snowflake expertise beyond traditional employment
Potential long-term growth track

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## Selection Process

This is a selective program.
We are onboarding a limited number of advisors in major U.S. cities for an initial cohort. Only 1 person per major city.

All candidates will participate in a video interview to assess technical alignment and ecosystem fit.

Revenue share will be done on a 1099 basis. Ideally the candidate will have their own LLC, C, S Corp and will be liable for self-employment taxes.

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