Lead Software Engineer - Data Platform

Cohere Health is a company that delivers AI-powered solutions to improve healthcare collaboration and economics. They are seeking a Lead Software Engineer to lead the design and delivery of scalable data and platform services, collaborating with various teams to enhance their data platform and ensure high-quality outcomes.

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