Principal Data Engineer

The Principal Data Engineer is a senior technical leader responsible for architecting and delivering the foundational components of EROAD’s next-generation Enterprise Data Warehouse (EDW) using Snowflake and DBT Cloud. This role is pivotal in executing the enterprise data strategy and enabling a scalable, secure, and modern data platform that supports self-service analytics and advanced data capabilities across the business.
The successful candidate will lead the design and implementation of data models, ELT pipelines, and platform governance frameworks. They will also champion the adoption of Power BI as the enterprise visualization tool and ensure alignment with best practices in data architecture, security, and performance.
This role requires a hands-on leader with deep technical expertise, a strategic mindset, and a passion for enabling data-driven decision-making at scale.
Architecture & Delivery
Lead the design and implementation of EROAD’s Snowflake EDW using DBT Cloud.
Define and enforce architectural standards, data modeling practices, and ELT patterns.
Translate the enterprise data strategy into actionable technical roadmaps and deliverables.
Ensure secure, scalable, and cost-effective data platform operations.
Oversee the integration of data from key enterprise systems (e.g., D365, Salesforce) into the EDW.
Platform Ownership & Governance
Administer and optimize the Snowflake environment, including Cortex features.
Improve and maintain data governance, access control, and quality frameworks.
Drive the adoption and lifecycle management of Power BI across the organization.
Support the implementation of Microsoft Fabric and Data Factory components.
Enablement & Strategy Execution
Lead the rollout of a self-service BI strategy, including training, documentation, and user engagement.
Collaborate with business stakeholders to understand data needs and deliver scalable solutions.
Mentor engineers and analysts on modern data engineering practices and tools.
Continuously evaluate emerging technologies (e.g., AI/ML, Cortex) for business value.