Staff Data Engineer – Federal (Auth0)

The Auth0 Data Engineering Team

Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:

• Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
• Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
• Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data

The Staff Data Engineer Opportunity

Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for strategic platform initiatives, beginning with a critical mission: making our data platform FEDRamp compliant.

Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for the architectural evolution of our core data platform.

This is a high-impact, strategic role where you will not be focused on day-to-day operations. Instead, you will lead the discovery, design, and implementation of the next-generation architecture for our data systems, ensuring they are scalable, reliable, and secure. You will work across multiple data, platform, and security teams to define the architectural roadmap and drive its successful execution. We are looking for a seasoned engineer who thrives on solving complex, ambiguous problems and can drive technical alignment across the organization.

Please note: Due to the strategic nature of upcoming projects, this position is open only to US citizens or Green Card holders currently residing in the United States.

What you’ll be doing 

• Lead the architectural design and evolution of our data platform, defining the roadmap for its future state.
• Drive technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
• Collaborate deeply with engineers and leaders from other data, platform, and security teams to create a unified and secure architecture.
• Produce architectural artifacts, including design documents, threat models, and technical specifications, to create clarity and alignment for complex initiatives.
• Act as a technical mentor and force-multiplier for the Data Engineering team, elevating the performance of the group through guidance, code reviews, and sharing best practices.
• Implement foundational components of new architecture, proving out designs with hands-on coding and providing a model for other engineers to follow.

What you’ll bring to the role

• A passion for building secure, reliable, and scalable data systems.
• 8+ years of software development experience, with at least 5+ years in a data engineering or data platform role.
• Proven experience designing and delivering large-scale, cross-functional technical projects.
• Extensive experience architecting and deploying data infrastructure in a cloud environment (AWS strongly preferred).
• Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
• Strong proficiency in Python and SQL, with a high bar for code quality and system design.
• Excellent communication skills, with the ability to create clarity and drive decisions on complex technical topics.
• The ability to deal with ambiguity, define a path forward, and lead others to successful outcomes.

And extra credit if you have experience in any of the following! 

• Direct experience with security compliance frameworks like FEDRamp, SOC2, or HIPAA.
• Hands-on experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes).
• Experience working in government cloud environments (e.g., AWS GovCloud).
• Familiarity with the Identity Access & Management (IAM) domain.

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