Headspace is looking to solve the problem of transforming mental healthcare through cutting-edge technology, leveraging the power of AI and ML to make a meaningful difference in people’s lives.
Requirements
- 8-10+ years of hands-on experience in big data technologies, with Staff Engineer+ skills in pySpark, dbt, and Databricks
- Experience designing and implementing performant, flexible data architectures, including testing, observability, and data quality alerting
- Experience with code reviews of other team members to ensure engineering quality
- Experience developing solutions that meet HIPAA (or other PII/PCI) requirements, including data anonymization
- Experience partnering with product leaders to improve instrumentation and A/B testing capabilities
- Experience as a technical leader with a track record of delivering results and making progress in a fast changing, ambiguous problem space
- Ability to articulate, influence, and drive changes across multiple teams and levels of stakeholders
Responsibilities
- Develop and drive strategic roadmaps for scalable data architecture, ELT, and data pipelines
- Directly manage data engineers and contractors with a wide range of experience levels
- Partner with our CISO to ensure compliance with HIPPA and privacy standards
- Distill complexity for technical and non-technical audiences
- Build cross-functional relationships with other technology leaders
- Effectively prioritize tradeoffs between reducing tech debt and developing innovative data products
- Explore new technologies to support the future state of our business
Other
- Lead, attract, and grow stellar technical talent as we continue to invest in Data and AI
- Model tenacity and resilience in the day to day
- BS degree or higher in Computer Science, Computer Engineering, or other STEM major (Science, Technology, Engineering or Math) or equivalent experience
- US-remote job location: we are currently recruiting remotely in the United States for this role. Candidates must permanently reside in the US full-time.
