Azure Data Platform Lead Engineer

Renaissance InfoSystems

City of Melbourne

On-site

AUD 180,000 - 240,000

Full time

3 days ago
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Job summary

Renaissance InfoSystems in Melbourne is seeking a Senior Lead Data Engineer to steer strategy, architecture, delivery, and optimization of enterprise-scale data platforms on Microsoft Azure. The role leads data platform roadmaps, governs pipelines, data models, warehouses and lakehouse solutions, and provides technical leadership across data teams while focusing on security and cost efficiency.

With 15+ years in IT and data engineering and 10+ years in leadership, you will work closely with

Qualifications

  • 15+ years in IT and 15+ years in Data Engineering.
  • 10+ years of leadership experience managing large-scale data programs.

Responsibilities

  • Lead end-to-end delivery of enterprise data platforms including architecture, development, deployment, and optimization.
  • Define and drive the data platform roadmap aligned with business objectives.
  • Architect and govern scalable data pipelines, data models, data warehouses, and lakehouse solutions using Azure services.
  • Provide technical leadership through design reviews, code reviews, and best-practices adoption.
  • Drive adoption of Microsoft Fabric, APIs, Azure Functions, and Python-based solutions.
  • Ensure scalability, security, reliability, and cost efficiency while maintaining governance.

Skills

SQL
Python
PySpark
Data Modeling
Data Warehousing
Cloud-native architecture
Design thinking
DevOps
Cost optimization

Tools

Azure Data Factory
Azure Synapse Analytics
Delta Lake
Microsoft Fabric
GitHub Actions
Azure Functions
Docker
Kubernetes
Azure DevOps
Power BI

Job description

Renaissance InfoSystems in Melbourne is seeking a Senior Lead Data Engineer to steer strategy, architecture, delivery, and optimization of enterprise-scale data platforms on Microsoft Azure. The role leads data platform roadmaps, governs pipelines, data models, warehouses and lakehouse solutions, and provides technical leadership across data teams while focusing on security and cost efficiency.

With 15+ years in IT and data engineering and 10+ years in leadership, you will work closely with

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