Senior Data Platform Engineer

Responsibilities

• Architect and evolve core data platform components to be robust, scalable, and maintainable.
• Design and deliver secure, high-performing end-to-end data workflows in partnership with technical and business teams.
• Build and operate data pipelines and orchestration workflows, ensuring reliable scheduling, lineage, quality, and recoverability.
• Own platform infrastructure with a focus on uptime, repeatability, and operational excellence.
• Lead Snowflake operations including configuration, performance tuning, cost optimization, and scalable data modeling patterns.
• Integrate diverse sources to enable a unified, governed data strategy across the organization.
• Drive reliability and security through monitoring/alerting, incident troubleshooting, IAM controls, encryption, and healthcare compliance alignment (e.g., HIPAA), while mentoring others on best practices and documentation.
• Develop and host training/demos for business and technical users on how to interact with relevant parts of the data platform.

• A bachelor’s degree or any equivalent combination of education, training, and experience.
• At least 4 years of experience in SQL and at least 2 years in Python or any equivalent combination of education, training, and experience.
• Experience with Git and building CI/CD pipelines (ex. Git Hub Actions).