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

Requirements

6+ years of experience in a role focused on Backend or Data Platform Engineering
3+ years of experience writing production-level SQL and backend code
Recent expertise with Python as a primary programming language
Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)
Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch
Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements
Ability to troubleshoot complex distributed systems
Familiarity with AI-enabled developer productivity tooling
Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment
Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly

Benefits

Comprehensive benefits to all full-time, exempt employees
Cash compensation including stock options and other Charlie Health-sponsored benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PostgresPythonTypescriptSQLdata modelingdimensional modelingdata vaultAI-powered toolingdatabase migrationsquery optimization

Soft Skills

mentoringcommunicationproblem-solvingcollaborationincremental deliverytroubleshootingadaptabilityleadershiptime managementcritical thinking