Senior Platform Engineer

Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases. Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript. Lead the definition, design, and phased migration to improved data models for core business concepts. Work alongside product engineering teams to deliver features with correct and well-modeled data at the source. Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems. Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value. Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes. Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data. Maintain and improve our transactional database infrastructure running in AWS. Review SQL and data access code for our production systems. Partner with engineers across the organization to ensure database migrations are executed correctly and safely. Profile, analyze, and tune slow or inefficient queries in Postgres. Leverage AI-powered tooling to enhance the software development lifecycle. Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services. Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly. We currently work in Scrumban-style 2-week sprints. Our teams work hybrid (required if in NY) and remotely across time zones, but are avail