Lead Engineer, Big Data - Databricks

📋 Description Lead end-to-end data engineering initiatives as a Forward Deployed Engineer, taking ownership of Provide technical leadership and subject matter expertise across Azure Databricks, Azure Synapse Design and implement scalable, high-performance data architectures for large healthcare datasets Champion AI-first development practices, including AI-assisted coding workflows and Azure Machine Develop business intelligence solutions using tools such as Power BI and Tableau, integrated with Analyze business processes and identify opportunities to apply Azure data, AI, and platform 🎯 Requirements At least 6 years of experience in data management or data engineering across cloud data platforms Bachelor's degree in information technology, computer science, statistics, business, healthcare Strong hands-on experience with Microsoft Azure data services, particularly Azure Databricks, Azure Demonstrated experience implementing AI-assisted development practices and machine learning Strong proficiency in Python, PySpark, Scala, and SQL, together with experience in automated Experience designing and implementing real-time streaming architectures using technologies such as 🎁 Benefits Annual salary range of $96,325.57–$208,705.40 USD, with actual compensation determined by factors Competitive overall compensation package. Comprehensive employee benefits package. Full-time remote work opportunity within the United States. Opportunity to work with modern Azure cloud, Databricks, AI, machine learning, and big data Opportunity to lead high-impact healthcare data initiatives supporting clinical, financial