Robust expertise in

SQL and

Python (or similar programming languages). Deep experience with Azure Data Factory (ADF), Databricks, and Azure Synapse. Advanced knowledge of

DataModeling and

Data Warehousing (DWH) concepts Hands-on exposure to

Microsoft Fabric ecosystem. Robust 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 frameworksacross 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. Robust

ownership mindset with ability to drive outcomes Excellent communication and stakeholder management skills Ability to balance technical depth with delivery leadership
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📌 Data Lead Engineer Port Phillip City
🏢 XPT Software
📍 Port Phillip City