05 Sep
|
Xpt Software Australia
|
Melbourne
05 Sep
Xpt Software Australia
Melbourne
XPT Software Australia Pty Ltd | Contract
Melbourne, Australia | Posted on 09/04/2026
- XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
- XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
- We have 120+technocrats in Australia working at our clientlocations.
- XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
- We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
Job Description
Role Overview
We are seeking a highlyexperienced Lead Data Engineer to drive the strategy, architecture,delivery, and optimization of enterprise-scale data platforms on MicrosoftAzure. The ideal candidate will combine deep technical expertise with strongleadership, stakeholder management, and delivery governance capabilities tobuild scalable, secure, and cost-efficient data solutions.
Must-Have Skills
- Strongexpertise in SQL, Python, and PySpark
- Extensiveexperience with Azure Data Factory (ADF) and Azure Synapse Analytics .
- Hands-onexperience with Delta Lake architecture and modern data lakehouseimplementations.
- Advancedknowledge of Data Modeling and Data Warehousing concepts.
- Strongexposure to the Microsoft Fabric ecosystem.
- Provenexpertise in designing cloud-native data architectures andenterprise-scale solutions.
- Solid design thinking and problem-solving capabilities.
- Workingknowledge of CI/CD pipelines and DevOps practices .
- Experiencein cloud cost optimization, performance tuning, and resource governance .
Key Responsibilities
- Leadand own the end-to-end delivery of enterprise data platforms ,including architecture,
development, deployment, and optimization.
- Defineand drive the data platform roadmap , ensuring alignment withbusiness objectives and strategic priorities.
- Architectand govern scalable data pipelines, data models, data warehouses, andlakehouse solutions using Azure services.
- Providetechnical leadership to Data Engineering teams through design reviews,code reviews, and implementation of engineering best practices.
- Drivethe adoption and implementation of Microsoft Fabric, APIs, AzureFunctions, and Python-based solutions .
- Ensureplatform scalability, reliability, security, and operational excellencewhile optimizing cloud costs.
- Establishand enforce data governance, data quality, security, and compliancestandards .
- Implementand drive CI/CD, DevOps, and Agile delivery practices across thedata engineering landscape.
- Collaboratewith business stakeholders, architects, and technology teams to translatebusiness requirements into scalable technical solutions.
- Mentor,coach, and develop Data Engineering talent, fostering a culture ofcontinuous learning and innovation.
- Leverage GitHub Copilot and AI-assisted engineering tools to improve productivityand solution quality.
- Driveinnovation by evaluating emerging technologies and identifyingopportunities for platform modernization.
Experience
- 10+years of overall IT experience, including 10+ years in Data Engineering .
- Minimum 5+ years of leadership experience managing large-scale DataEngineering programs and teams.
- Proventrack record of leading cross-functional teams and delivering complexenterprise data transformation initiatives.
- Experiencebuilding, hiring, and scaling high-performing Data Engineering teams.
- Experienceworking within multi-vendor and globally distributed deliveryenvironments .
- Strongexperience in stakeholder management, delivery governance, andexecutive-level communication.
Preferred Skills
- Experiencebuilding and managing enterprise APIs and Azure Function Apps .
- Experiencein solution architecture, stakeholder engagement, and deliverygovernance .
- Azurecertifications such as:
- AzureSolutions Architect Expert
- Familiaritywith MLOps, Data Science, and AI-driven analytics solutions .
- Hands-onexperience with Power BI and enterprise reporting platforms.
- Experienceleveraging AI and Generative AI capabilities within Data Engineeringecosystems .
- Strongownership mindset with a focus on accountability and business outcomes.
- Excellentcommunication, stakeholder management, and influencing skills.
- Abilityto balance technical leadership with delivery and people managementresponsibilities .
- Strategicthinker with a strong focus on execution excellence.
- Strongconflict resolution and cross-functional collaboration skills.
- Adaptabilityand resilience in fast-paced, evolving environments.
- Passionfor mentoring teams and fostering a culture of innovation and continuousimprovement.
#J-18808-Ljbffr
📌 Lead Data Engineer (Melbourne)
🏢 Xpt Software Australia
📍 Melbourne