Lead Data Platform Engineer - Snowflake & dbt Cloud

About the role

Are you looking for a forward focus environment where you are continually challenged, and the atmosphere is affirming? Do you want to be a part of a team where you are often out of your comfort zone, but you wake up excited to go to work each day? How about a place where people are growing because they desire change and growth is modeled and expected?

Premier Trailer Leasing is a 'USA Today Top Workplace' and one of the largest trailer leasing and rental companies in the nation, specializing in long-term leasing and short-term rental services for over-the-road vans, flatbeds, refrigerated equipment and chassis with an inventory of 70,000 trailers and a growing network of locations across the United States. At Premier you will find an environment where you are seen, heard and valued. Join us and experience what it means to live a culture of C.A.R.E!

Premier Trailer Leasing is building its next-generation Enterprise Data Platform to support its continued growth as part of a hybrid data modernization plan. This is a hands-on technical leadership role for an experienced Snowflake builder. You will help design and implement a greenfield Snowflake environment, establish the engineering practices surrounding it, and deliver governed, production-grade data products supporting reporting, operational integrations, APIs, and future AI workloads. We are looking for someone who has built and operated this kind of platform before, brings practical lessons from prior implementations, takes ownership, and constructively challenges technical assumptions. As the platform and team grow, you will establish the standards and patterns future data engineers will follow.

Responsibilities

• Greenfield Platform Build: Partner with Data Leadership to design and implement a modern data platform using Snowflake, dbt Cloud, managed ingestion and CDC tooling, appropriate custom integrations, and GitHub-based workflows.
• Engineering Standards & Operating Model: Establish repeatable practices for environments, Git workflows, modular development, testing, code review, CI/CD, deployment controls, rollback, documentation, monitoring, access, and production support.
• Data Architecture & Modeling: Build a layered architecture spanning raw ingestion, conformed enterprise models, and published marts or data products. Design canonical models that standardize core business entities, definitions, relationships, and rules.
• Ingestion & CDC: Design and operate resilient ingestion patterns for SQL Server, ERP, CRM, SaaS applications, REST APIs, files, and semi-structured data using managed CDC and ingestion platforms alongside custom integr