Senior Manager, Data Engineering

Summary

Join us at Headspace and lead our Data Engineering function to create an environment of exceptional technical execution, psychological safety, and purpose-driven mindset.

Requirements

• 8+ years of experience in big data technologies, with Staff Engineer+ skills in pySpark, dbt, and Databricks
• 5+ years of managing Data or Analytic Engineers
• Experience designing and implementing performant, flexible data architectures, including testing, observability, and data quality alerting
• 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

Responsibilities

• 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
• 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

Benefits

• Comprehensive healthcare coverage
• Monthly wellness stipend
• Retirement savings match
• Lifetime Headspace membership
• Unlimited, free mental health coaching
• Generous parental leave