Must-Have Skills • Robust expertise in SQL and Python (or similar programming languages).
• Deep experience with Azure Data Factory (ADF), Databricks, and Azure Synapse.
• Advanced knowledge of Data Modeling and Data Warehousing (DWH) concepts • Hands-on exposure to Microsoft Fabric ecosystem.
• Strong understanding of cloud data architecture and enterprise-scale solutions.
Key Responsibilities • Lead and own end-to-end data platform delivery , including design, build, and optimization of scalable data solutions on Azure.
(derived from pipeline engineering responsibilities) • Architect and govern data pipelines, data models, and enterprise data platformsusing Azure services.
• Provide technical leadership to data engineers, reviewing code, enforcing best practices, and ensuring quality delivery.
• Drive development of APIs, Azure Functions, and Python-based solutions aligned with business needs.
• Oversee cloud infrastructure management and ensure optimal performance, scalability, and cost efficiency • Define and implement data governance, data quality, and security standards.




• Establish and drive CI/CD, DevOps practices, and agile delivery frameworks across the data platform.
• Collaborate with business and technical stakeholders , translating requirements into scalable solutions and roadmaps.
• Mentor team members and build capability within the data engineering team.
Experience • 8+ years of experience in data engineering, with 2–4 years in a leadership role • Proven ability to lead cross-functional teams and deliver complex data programs.
Preferred Skills • Experience in building enterprise APIs and Azure Function Apps.
• Exposure to framework-based development (proc frameworks or similar).
• Experience in stakeholder management, solution architecture, and delivery governance.
Key Traits • Strong ownership mindset with ability to drive outcomes • Excellent communication and stakeholder management skills • Ability to balance technical depth with delivery leadership

📌 Data Lead Engineer (Victoria)
🏢 Xpt Software Australia
📍 Victoria