Data Lead Engineer
XPT Software Australia Pty Ltd Victoria, Australia
IT Services and IT Consulting · 51-200 employees
About the role
Lead the end-to-end delivery of scalable data platforms and architect enterprise-grade data pipelines using Azure services. Provide technical leadership to the engineering team while driving governance, quality standards, and agile delivery practices.
What they look for
Requirements
Requires over 8 years of experience in data engineering with a proven track record in leadership roles. Candidates must possess deep expertise in the Azure ecosystem, data modeling, and cloud architecture.
Full description
Must-Have Skills
- Strong 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
