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.
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
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Data Overview
- Records
- 33,800+
- Coverage
- Global
- Update Frequency
- Daily
Key Attributes
- VP Engineering full name and title
- Company name, size, and industry
- Confirmed Snowflake and Databricks installations
- LinkedIn URL
- Work email and direct phone
Common Use Cases
- Data platform and AI infrastructure vendors targeting engineering leaders at data-mature companies
- Cloud architecture consulting firms working with complex multi-platform engineering stacks
- Recruiting firms placing senior engineering leaders in data-heavy organizations