Lead Data Engineer

Role: Lead Data Engineer Location: Melbourne Job Description: Must-Have Skills Strong expertise in SQL, Python, and PySparkExtensive experience with Azure Data Factory (ADF) and Azure Synapse Analytics.Hands-on experience with Delta Lake architecture and modern data lakehouse implementations.Advanced knowledge of Data Modeling and Data Warehousing concepts.Strong exposure to the Microsoft Fabric ecosystem.Proven expertise in designing cloud-native data architectures and enterprise-scale solutions.Strong design thinking and problem-solving capabilities.Working knowledge of CI/CD pipelines and DevOps practices.Experience in cloud cost optimization, performance tuning, and resource governance.10+ years of overall IT experience, including 10+ years in Data Engineering.Minimum 5+ years of leadership experience managing large-scale Data Engineering programs and teams.Proven track record of leading cross-functional teams and delivering complex enterprise data transformation initiatives.Experience building, hiring, and scaling high-performing Data Engineering teams.Experience working within multi-vendor and globally distributed delivery environments.Strong experience in stakeholder management, delivery governance, and executive-level communication.Familiarity with MLOps, Data Science, and AI-driven analytics solutions.Hands-on experience with Power BI and enterprise reporting platforms.Experience leveraging AI and Generative AI capabilities within Data Engineering ecosystems. Interested Candidates can share their updated resumes on shalini.tomar@carecone.com.au or can reach me on +61283195549