Staff Software Engineer - Data Platform

📋 Description

• Extend our robust, configuration-driven data platform to surface data insights within the Product
• Lead architecture of the Data Platform, maintaining and enhancing core services: Ingest as a
• Hands-on work with Snowflake (Snowpark for Python), Google Cloud Platform, Airflow, Docker, and
• Mentor engineers, raise the technical bar, and guide a team on high-impact projects.
• Operate in a full DevOps model: development, testing, operations, and support for built systems.
• Drive continuous improvement of engineering standards for coding, testing, deployment, and

🎯 Requirements

• Distributed data systems: design for high throughput and low latency on large datasets.
• Data modeling and architecture: scalable OLAP/OLTP models with data integrity and performance.
• Data governance & observability: governance frameworks, data catalogs, and observable data
• Technical leadership: set direction, translate requirements into architecture, mentor engineers.
• Customer/product focus: align data solutions with business value and stakeholder needs.
• Communication: clearly articulate designs, status, and risks to technical and non-technical

🎁 Benefits

• Industry competitive compensation and equity plan
• Flexible time off, sick days, and holidays
• Comprehensive medical insurance (Health, Dental, Vision)
• Paid parental leave and family planning benefits
• In-office workspace (San Francisco & Chicago)
• Wellness stipend and access to LinkedIn Learning