Director, Data Engineering

Position Overview

• Location Type: Remote (United States)
• Employment Type: Full-time
• Salary: Not specified

Headspace is on a mission to provide every person access to lifelong mental health support. We are at the forefront of transforming mental healthcare through cutting-edge technology, leveraging the power of AI and ML to make a meaningful difference in people’s lives. We’re looking for a leader with deep technical skills and expertise to grow and guide our Data Engineering function, creating an environment of exceptional technical execution, psychological safety, and a purpose-driven mindset. As leader of Data Engineering at Headspace you will be at the leading edge of the AI revolution and have meaningful opportunities to profoundly impact the future of mental health care for our 70 million users. 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. A big goal needs talented people, so come join us and give your day job a sense of purpose!

Requirements

• Experience:
  • 8-10+ years of hands-on experience in big data technologies.
  • 5+ years directly managing Data or Analytic Engineers.
• Skills:
  • Staff Engineer+ skills in pySpark, dbt, and Databricks.
  • Experience designing and implementing performant, flexible data architectures.
  • Experience with code reviews of other team members to ensure engineering quality.
  • Experience developing solutions that meet HIPAA (or other privacy standards).
• Location: Currently recruiting remotely in the United States. Candidates must permanently reside in the US full-time.

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.
• Directly manage data engineers and contractors with a wide range of experience levels.
• Partner with our CISO to ensure compliance with HIPAA 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.