Lead Data Engineer

Role: Lead Data Engineer

Location: Melbourne

Job Description:

• Strong expertise in SQL, Python, and PySpark
• Extensive 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.
• Experience building and managing enterprise APIs and Azure Function Apps.
• Exposure to framework-based data engineering development approaches.
• Experience in solution architecture, stakeholder engagement, and delivery governance.
• Azure certifications such as:
• Azure Data Engineer Associate
• Azure Solutions Architect Expert
• 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 [email protected] or can reach me on +61283195549