The role involves managing the delivery and operations of platforms used to model, transform, analyze, and visualize data. The individual will design, build, and optimize the Azure Databricks platform to support analytical workloads such as machine learning and data science. Responsibilities include establishing standards, enforcing best practices, and providing frameworks for cross-functional teams. The position requires mentoring junior team members and managing projects from concept to completion. Additionally, the role entails ensuring platform scalability, security, and governance while troubleshooting performance issues.

Candidates must possess at least eight years of experience in data analytics administration and development, including four years specifically with Databricks. A bachelor’s degree in a related field is required, while a master’s degree is preferred. The role necessitates advanced proficiency in Azure Databricks, Azure infrastructure, and programming languages such as SQL, Python, or PySpark. Additionally, applicants should have proven leadership experience in managing cross-functional teams and complex projects.