Charlie Health is hiring a Senior Platform Engineer to join our Data Platform organization. In this role, you will be instrumental in designing, implementing, and maintaining the foundational data models, access patterns, and database infrastructure that power our transactional systems. Your work will directly ensure data quality, consistency, usability, and security from the earliest stages of feature development.
What You'll Do
- Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases.
- Develop and maintain data access standards and patterns in 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 across transactional systems.
- Provide options around key initiatives and break down work into visible and achievable milestones.
- Mentor and train other engineers and improve architecture, data modeling standards, and engineering processes.
- Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation.
- Maintain and improve transactional database infrastructure running in AWS.
- Review SQL and data access code for production systems.
- Partner with engineers 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 deployed services.
- Participate in an on-call rotation, responding to and resolving critical infrastructure and application issues.
What We're Looking For
- 4+ 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).
- Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch.
- Proven track record of breaking down large problems and delivering incremental value.
- Ability to troubleshoot complex distributed systems.
- Familiarity with AI-enabled developer productivity tooling.
- Strong communication and problem-solving skills, and ability to work in a fast-paced startup environment.
- Hands-on experience participating in an on-call rotation.
Nice to Have
- Proficiency with programming languages like Typescript or Golang.
- Experience with large data migrations on production systems.
- Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda.
- Proficiency with Snowflake as a cloud data warehouse.
- Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch.
- Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka).
Technical Stack
- Databases: Postgres, Aurora, Snowflake
- Languages: Python, Typescript
- Cloud & Infrastructure: AWS, S3, SQS, ECS Fargate, Lambda
- Observability: Datadog, Cloudwatch
- Data Engineering: DBT, Dagster, Fivetran, Hightouch
- Eventing: Eventbridge, Kafka
Team & Environment
You will work on the Data Platform team, which intersects with Product Engineering, Analytics, ML, and Platform teams.
Benefits & Compensation
- Salary range: $150,000-$220,000 per year
- Equity in the form of stock options
- Comprehensive benefits for full-time, exempt employees
Work Mode
This position operates on a hybrid work model.
At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves.
