At a Glance
- Tasks: Lead and optimise scalable data solutions on Azure, driving innovation and collaboration.
- Company: Join a forward-thinking tech company focused on data excellence.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on mentorship and career advancement.
- Why this job: Make a real impact by shaping the future of data engineering.
- Qualifications: 8+ years in data engineering with leadership experience; strong SQL and Python skills.
The predicted salary is between 72000 - 88000 $ per year.
- 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.
- 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, Dev Ops 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 employer: XPT Software Australia
XPT Software Australia is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about learning and development. Located in a vibrant tech hub, we offer comprehensive employee growth opportunities, including access to cutting-edge training resources and mentorship programs. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions and encourages professional advancement.
We think you need these skills to ace Data Lead Engineer
SQL
Python
Azure Data Factory (ADF)
Databricks
Azure Synapse
Data Modeling
Data Warehousing (DWH)
