Staff Data Engineer
Senior
Apache Airflow
Cloud
Cloud Infrastructure
Cloud Native
Cloud Platform
Cloud Platforms
Cloud Technology
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Pipeline
Data Pipelines
Data Platform
Data Warehouse
Data Warehousing
Database
Databases
Engineering
ETL
Infrastructure As Code
Kubernetes
Platform Engineering
Snowflake
SQL
Job Description
Benefits and Culture
- Well being and health support for employees, prioritizing balance and flexibility
- Meaningful opportunities to drive social impact through technical work
- Focus on developing talent and building strong, connected teams across the organization
Location: Chicago, IL, hybrid work arrangement. Compensation: USD 174,000 - 238,700 per year.
Responsibilities
- Spearhead the architectural evolution of the data platform, defining the roadmap for its future state
- Shape and guide a technical strategy for large scale platform improvements, balancing long term goals with incremental delivery
- Collaborate with engineers and leaders across data, platform, and security teams to forge a unified, secure architecture
- Produce architectural artifacts such as design documents, threat models, and technical specifications to align stakeholders on complex initiatives
- Serve as a technical mentor to the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices
- Build foundational components of the new architecture by hands-on coding to model patterns others can follow
Requirements
- Commitment to building secure, reliable, and scalable data systems
- 8+ years in software development, with at least 5+ years in data engineering or data platform roles
- Proven track record delivering large-scale, cross-functional technical programs
- Extensive experience designing and deploying data infrastructure in a cloud environment, with AWS strongly preferred
- In-depth knowledge of the modern data stack including Snowflake, dbt, and Airflow
- Strong proficiency in Python and SQL, with emphasis on code quality and system design
- Excellent communication skills enabling clarity and informed decisions on complex technical topics
- Ability to navigate ambiguity, chart a path forward, and lead others to successful outcomes
Technologies
- Snowflake
- dbt
- Airflow
- Python
- SQL
- AWS
- Terraform
- Kubernetes
About the Auth0 Data Engineering Team
- Pipeline team focuses on efficient data ingestion and rapid access to unmodeled data, operating near the Platform team and data producers
- Warehouse team models data in the data warehouse to simplify analysis for data consumers, supporting business teams and decision-making
- Interface team builds and manages connections between the data platform and external systems, ensuring consistent, reliable data access
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