Strong 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.
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 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
#J-*****-Ljbffr

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