Director of Data Engineering, Headspace Health

• 8-10+ years of hands-on experience in big data technologies, with Staff Engineer+ skills in pySpark, dbt, and Databricks
• 5+ years directly managing Data or Analytic Engineers
• 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
• Track record of technical and functional stakeholder management, including an ability to distill complexity for both technical and non-technical audiences
• Experience building and executing on cross-functional roadmaps, building OKRs and milestones
• BS degree or higher in Computer Science, Computer Engineering, or other STEM major (Science, Technology, Engineering or Math) or equivalent experience

Desirable

• Data Engineering is essential to the long-term success of Headspace and our mission, and we need an experienced hands-on engineering leader to build the data infrastructure we need to power the phase of our growth
• You will be responsible for leading and growing a team of talented engineers, spearheading our data strategy and architecture, ensuring best practices for data governance and privacy, and partnering with senior technical leaders across the business to propel Headspace to new heights
• This is a hands-on role for leaders who aren’t afraid to get into the weeds and solve challenging data problems
• Your primary stakeholders will be Business Intelligence, Data Analytics, AI/ML, and Product Engineering leaders
• Lead, attract, and grow stellar technical talent as we continue to invest in Data and AI
• 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
• Model tenacity and resilience in the day to day