✨ About The Role
- The Data Engineering Lead will collaborate closely with data scientists, software engineers, and product managers to develop systems that provide compensation insights.
- This role involves designing and maintaining robust data pipelines and models that influence over $100 billion in total compensation.
- The candidate will be responsible for establishing the vision for the infrastructure that supports Pave's product.
- They will own major technical initiatives from end-to-end, ensuring scalability and robustness of the systems.
- The position offers the opportunity to impact billions in compensation spend and establish the company as an authority in compensation technology.
âš¡ Requirements
- The ideal candidate has over 8 years of experience in a Data/Analytics Engineering role, particularly in a product-facing capacity.
- They possess strong software engineering and architectural experience, demonstrating a deep understanding of data infrastructure.
- A proven track record of leading teams for at least 2 years in a people management or tech lead capacity is essential.
- Exceptional data manipulation and modeling skills, particularly with SQL and Python, are crucial for success in this role.
- The candidate should have a product mindset, understanding how data pipeline decisions impact user experience.