• 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 available during core meeting hours (12PM to 5PM EST).