Requirements
- 5+ years in Data Engineering leadership, with proven track record of scaling data systems from startup to large and international scale.
- Experience building scalable data infrastructure (data platforms) and data governance frameworks for multi-region, sensitive data environments.
- Strong software design, SQL, and Python skills.
- Ability to inspire and grow a world-class team.
- Strategic leader with both hands-on credibility and organizational influence.
- Adept at delivering impact working in circumstances with large uncertainty and in discovery-driven phases.
Nice to Have
- Experience leading Data Engineering in a global, mission-driven company.
- Experience with sensitive data, ideally health data, and compliance.
- Experience with GPU workloads in Databricks.
Work Arrangement
Hybrid
Team
Team size: nearly 100 full time engineers. Structure: The engineering team is divided into smaller cross functional project teams that each focus on a specific goal or target, where some groups are long-lived, and some are short-lived, depending on how big the goal or deliverable is. We strive to create groups which are cross-functional and able to complete their goals without dependence on other teams, even though this is of course not always possible.
Additional Information
- We are a Remote First company; however, it is of course much easier to work remotely as a software engineer than a hardware or firmware engineer (since they require access to hardware or devices occasionally).
- We have a flexible workplace that focuses on work/life balance, and we strongly believe in our mission but do not think that achieving it requires sacrificing everything else.
