# VP Engineering at Snowflake + Databricks Companies

> 33,800+ VP-level engineering leaders at companies running both Snowflake and Databricks — the most data-mature engineering organizations, building at the intersection of analytics and ML.

**Source:** https://gtm.ai/marketplace/vp-engineering-snowflake-databricks

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## Overview

VP Engineering leaders at companies running both Snowflake and Databricks are at organizations with the most sophisticated data engineering infrastructure in the market. These companies have invested in both the warehouse (Snowflake) and the lakehouse/ML layer (Databricks) — and their engineering leaders are evaluating the next layer of the stack: orchestration, observability, feature management, and AI tooling. This 33,800+ audience targets precisely that buyer profile.

## What's Included

VP-level engineering contacts at companies with confirmed dual Snowflake and Databricks installations. Direct contact details and company firmographics included.

## Use Cases

- **Data engineering and AI infrastructure vendors** targeting VPs at organizations with mature multi-platform data stacks
- **Orchestration and pipeline vendors** (Dagster, Prefect, Airflow managed services) reaching engineering decision-makers
- **ML platform and LLMOps vendors** targeting engineering leaders building AI on modern data foundations