Principal Data Engineer

About this role

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Engineer in the United States.
In this role, you will serve as a senior technical owner of a mission-critical analytics data platform that powers reporting, financial operations, and strategic decision-making across the organization. You will design and evolve a modern data architecture centered on Snowflake, ensuring scalable, reliable, and well-modeled data systems. Acting as a key bridge between product engineering, analytics engineering, and business stakeholders, you will shape how data is created, transformed, and consumed end to end. This is a highly hands-on leadership position, combining deep SQL and Python expertise with architectural ownership and cross-functional influence. You will also drive improvements in data quality, observability, and automation across complex pipelines. The environment is fast-moving, collaborative, and highly technical, with significant visibility and impact across the business.


Accountabilities

• Own the end-to-end architecture of the data warehouse and reporting layer, defining modeling standards, data structures, and evolution patterns across Snowflake-based systems.
• Develop and maintain analytics engineering solutions, including SQL and dbt models that power core business reporting and downstream consumption.
• Partner cross-functionally with engineering, product, analytics, and business stakeholders to translate data needs into scalable technical solutions and close critical data gaps.
• Design and enhance platform integrations between upstream product systems and the warehouse, including schema automation and data flow optimization.
• Build and enforce data quality frameworks, including testing, validation, and monitoring processes to ensure reliable and trustworthy datasets.
• Implement observability practices and define data SLAs/SLOs while supporting light on-call responsibilities for produ...