Robust expertise inSQLandPython(or similar programming languages).
Deep experience with Azure Data Factory (ADF), Databricks, and Azure Synapse.
Advanced knowledge ofDataModelingandData Warehousing (DWH)concepts
Hands-on exposure toMicrosoft Fabricecosystem.
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.
Providetechnical leadershipto data engineers, reviewing code, enforcing best practices, and ensuring quality delivery.
Drive development ofAPIs, Azure Functions, and Python-based solutionsaligned with business needs.
Overseecloud infrastructure managementand 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 withbusiness and technical stakeholders, translating requirements into scalable solutions and roadmaps.
Mentor team members and build capability within the data engineering team.
Experience
8+ yearsof experience in data engineering, with2–4 years in a leadership role
Proven ability tolead cross-functional teamsand 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.
Strongownership mindsetwith ability to drive outcomes
Excellent communication and stakeholder management skills
Ability to balance technical depth with delivery leadership
#J-*****-Ljbffr

📌 Data Lead Engineer (Melbourne)
🏢 XPT Software
📍 Melbourne