This article discusses how to measure the success of individual contributors in a data team. It outlines three main roles - Data Engineer, Analytics Engineer, and Data Analyst - and provides metrics for evaluating their performance. For Data Engineers, these include downtime, testing coverage, lead time, and failure rate. Analytics Engineers can be evaluated based on failure rate, testing coverage, lead time, adoption rate, and trustworthiness. Data Analysts' success is measured by lead time, adoption rate, trustworthiness, departmental metrics, and analytical rigor. The article emphasizes the importance of business model alignment, substantive expertise, and adaptability for all roles.