Lead Software Engineer - Data Platform

Cohere Health is a company that delivers AI-powered solutions to improve payer-provider collaboration and streamline access to quality care. They are seeking a Lead Software Engineer to join their Data Platform team, responsible for leading the design and delivery of scalable data services and platform initiatives while mentoring engineers and driving engineering excellence.

Responsibilities:

• Lead the design and execution of complex data platform initiatives from architecture through production delivery
• Build and evolve data services and APIs that enable reliable access to platform data across systems
• Provide technical leadership across the squad, guiding engineers on system design, development best practices, and incident response
• Drive engineering excellence through code reviews, testing standards, CI/CD practices, and documentation
• Mentor engineers across levels, supporting growth, feedback, and alignment with career progression frameworks
• Collaborate with Staff Engineers and Engineering Managers to evolve platform architecture, scalability, and reliability
• Partner with product, analytics, and business teams to translate requirements into scalable and maintainable data solutions
• Own delivery outcomes in ambiguous or cross-functional initiatives, ensuring clarity, accountability, and execution
• Promote a culture of quality, operational excellence, and continuous improvement across the team

Requirements:

• 7+ years of experience in data engineering, including technical leadership or lead experience
• Experience working with healthcare data (e.g., claims, EMR, clinical datasets) required
• Strong proficiency with modern data tools and AWS (or other cloud platforms) required
• Advanced Python and SQL skills, with a focus on testing, observability, and maintainable code required
• Proven track record building and owning scalable data platforms or infrastructure
• Experience with modern data platforms (e.g., Databricks, Snowflake), data governance/quality, and migrating legacy systems to scalable architectures
• Deep expertise in system design, data modeling, and scalable data architecture
• Ability to navigate ambiguity, influence stakeholders, and drive technical decisions across teams