Enterprise Warehouse Optimization Platform Consultant

# Enterprise Data Warehouse / BI Consultants — Business Development + Consulting Opportunity We are looking for senior **Data Architects, Data Scientists, Snowflake specialists, and Power BI, Tableau and Looker experts** with established relationships inside large enterprise organizations. We have developed an enterprise warehouse optimization platform currently being used within a **$330B company**. The platform analyzes warehouse workloads at scale to identify expensive and inefficient query patterns, with particular emphasis on identifying, curating and remediating bloated queries that unnecessarily increase compute and warehouse costs. ## Who We're Looking For We are NOT looking for traditional cold-call salespeople. We are looking for experienced enterprise technology professionals who already have trusted relationships with CIOs, CTOs, Chief Data Officers, Enterprise Architects, Data Platform leaders, BI leaders, or similar decision makers. The ideal consultant can identify organizations where warehouse cost and query performance are significant problems and introduce our platform through an existing trusted relationship. ## Your Role You would initially operate as a trusted technical/pre-sales consultant helping introduce and position the platform. When an introduction results in an enterprise optimization engagement, we want the person who developed that opportunity to have the ability to participate as a **billable consultant on the resulting project**. This creates an opportunity to both originate enterprise engagements and participate professionally in delivering them. We are especially interested in professionals with enterprise experience involving: **Snowflake • Enterprise Data Warehousing • Big Data • Data Architecture • Data Science • Power BI • Tableau • Looker • Cloud Data Platforms • Query Optimization • FinOps / Data Cost Optimization** If you have strong enterprise relationships and understand the technical and financial impact of inefficient data warehouse workloads, we'd like to talk.