Responsibilities
- Architect, implement, and take ownership of data pipelines, models, and systems that serve product, data science, and go-to-market operations
- Gain deep domain knowledge and oversee service level commitments for data workflows and full-stack applications used by key internal teams
- Construct and enhance core data infrastructure, pipelines, and tooling using Scala, Spark, and Airflow to support cross-functional needs
- Apply large language models and autonomous agents at scale to generate accurate data insights for complex, ill-defined challenges
- Improve existing data marts that enable go-to-market leadership to forecast business performance and track progress against goals
- Develop data services that monitor essential product metrics and assess the effectiveness of field team strategies
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid or remote options available
Team
Part of the data engineering team focused on building foundational systems for enterprise-scale data products
Technologies We Use
- Scala, Spark, Airflow, and large-scale data processing frameworks
- Large language models and agent-based systems for data generation
Available for qualified candidates
