About the job
Join Our Team at SonderMind
At SonderMind, we passionately believe that everyone deserves access to a personalized, connected, and effective mental health solution throughout their life journey. Our comprehensive care model includes therapy, medication management, and mindfulness practices. Our dedicated clinicians utilize advanced digital tools and research to provide exceptional quality care while cultivating thriving practices. By seamlessly integrating technology with human connection, SonderMind enhances outcomes through a holistic approach to mental health. Discover more about us at sondermind.com or explore our mobile app available for iOS and Android. Stay updated with our latest news and insights by following us on Instagram, LinkedIn, and Twitter.
As part of our commitment to innovation, we encourage all team members to harness modern AI technologies in their workflows and to continuously adapt to emerging tools. Proficiency with relevant AI platforms, including Gemini, ChatGPT, Claude, GitHub Copilot, and other industry-standard productivity tools, is crucial for success within our organization.
Your Role and Responsibilities
We are seeking a Senior Staff Data Engineer to assume a pivotal technical leadership role within SonderMind's Data Platform team. You will be instrumental in designing, building, and evolving data systems that support analytics, experimentation, machine learning, and clinical outcomes across our organization.
In this position, you will enjoy a high degree of ownership and autonomy. You will be tasked with delivering a reliable data infrastructure, shaping technical direction, establishing best practices, and empowering other teams to accelerate their operations with trusted, high-quality data—all while navigating the constraints of a regulated healthcare environment.
Key Responsibilities
Design, build, and maintain core data pipelines and infrastructure that power analytics, experimentation, machine learning, and AI applications across product, clinical, and operations teams.
Lead data architecture decisions concerning ingestion, transformation, storage, and serving layers, prioritizing scalability, reliability, cost efficiency, and maintainability.
Collaborate with cross-functional teams to ensure that data solutions are aligned with business objectives and regulatory requirements.

