Delivery Lead with Data Engineer

XPT Software Australia Pty Ltd; City of Melbourne; On-site; AUD 180,000 - 240,000; Full time

Job summary

XPT Software Australia Pty Ltd is seeking an experienced Delivery Manager to lead large-scale Data Engineering programs in Melbourne. You will own end-to-end delivery, plan, govern, engage stakeholders, and lead distributed teams across Azure-based data platforms.

Key focus areas include data warehousing, lakehouse solutions, data quality and governance, and driving Agile/Scrum and DevOps practices to ensure on-time, on-budget outcomes and client satisfaction.

Qualifications

• 12+ years of IT experience with at least 5+ years managing large Data Engineering or Analytics programs.
• Strong understanding of modern data architectures and cloud-native platforms.
• Experience managing geographically distributed delivery teams.

Responsibilities

• Own end-to-end delivery of Data Engineering programs, ensuring alignment with business objectives and client expectations.
• Establish programme governance, delivery frameworks, reporting cadence, and risk management processes.
• Managescope, schedule, budget, quality, and resource planning across multiple concurrent initiatives.
• Drive Agile, Scrum, and DevOps delivery practices across distributed teams.
• Serve as the primary interface between business stakeholders, clients, and engineering teams.

Skills

Delivery management

Data engineering

Cloud platforms

Azure

Synapse

Microsoft Fabric

Data warehousing

Data governance

Agile/Scrum

Stakeholder management

Release management

Team leadership

Tools

Microsoft Fabric

Azure Synapse

SQL Server

Power BI

ETL/ELT frameworks

Job description

XPT Software Australia Pty Ltd | Contract

Delivery Lead with Data Engineer

Melbourne, Australia | Posted on 09/10/2026

• 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

DeliveryManager – Data Engineering Programs

RoleSummary

We areseeking an experienced Delivery Manager to lead the successful deliveryof large-scale Data Engineering programs. The role requires ownership ofend-to-end delivery, including planning, execution, governance, stakeholderengagement, and team leadership. The ideal candidate will possess a strong backgroundin cloud data platforms, data warehousing, data engineering practices, andprogramme delivery management.

TheDelivery Manager will act as the primary interface between businessstakeholders, clients, architecture teams, and engineering teams to ensurehigh-quality, on-time, and on-budget delivery of strategic data initiatives.

KeyResponsibilities

DeliveryLeadership

• Ownend-to-end delivery of Data Engineering programs, ensuring alignment withbusiness objectives and client expectations.
  
• Establishprogramme governance, delivery frameworks, reporting cadence, and riskmanagement processes.
  
• Managescope, schedule, budget, quality, and resource planning across multipleconcurrent initiatives.
  
• Ensuresuccessful delivery of data engineering initiatives.
  
• DriveAgile, Scrum, and DevOps delivery practices across distributed teams.
  

Client& Stakeholder Management

• Serveas the primary point of contact for business and technology stakeholders.
  
• Buildtrusted relationships with client leadership and internal executives.
  
• Facilitateprogramme reviews, and executive reporting.
  

DataEngineering & Technology Oversight

• Providedelivery oversight for enterprise data platforms built on Azure, MicrosoftFabric, Synapse.
  
• Ensureengineering teams adhere to architecture standards, security requirements,and best practices.
  
• Overseeimplementation of:
  
• DataWarehousing and Lakehouse solutions
  
• Dataquality and governance frameworks
  
• AIinitiatives
  
• Partnerwith architects to drive scalable, secure, and cost-effective solutions.
  
• Managecontract commitments, resource utilization, and delivery KPIs.
  
• Identifyopportunities for account growth, service expansion, and valuerealization.
  

Risk& Quality Management

• Establishdelivery assurance practices.
  
• Proactivelyidentify programme risks, dependencies, and mitigation plans.
  
• Ensurecompliance with governance, security, regulatory, and audit requirements.
  
• Drivecontinuous improvement across delivery processes and operational metrics.
  

PeopleLeadership

• Build,mentor, and lead high-performing Data Engineering teams.
  
• Supporthiring, onboarding, workforce planning, performance management, and careerdevelopment.
  
• Fostera culture of accountability, collaboration, innovation, and continuouslearning.
  

RequiredQualifications

• 12+years of IT experience with at least 5+ years managing large DataEngineering or Analytics programs.
  
• Strongunderstanding of modern data architectures and cloud-native platforms.
  
• Experiencemanaging geographically distributed delivery teams.
  

TechnicalExpertise

DataPlatforms

• MicrosoftFabric
  
• SQLServer
  
• PowerBI
  
• DataWarehousing
  
• LakehouseArchitecture
  
• DataModeling
  
• ETL/ELTFrameworks
  
• DataGovernance
  
• DataQuality Management
  
• PerformanceOptimization
  

Delivery& Operations

• Agile/ Scrum
  
• Release& Change Management
  
• Programmeleadership
  
• Clientrelationship management
  
• Riskand issue management
  
• Strongcommunication and presentation skills
  
• Teambuilding and people leadership
  
• Negotiationand conflict resolution
  
• Outcomeownership and execution excellence
  

SuccessMeasures

• On-timeand on-budget programme delivery
  
• Clientsatisfaction and CSAT improvement
  
• Revenueand margin achievement
  
• Deliveryquality and defect reduction
  
• Teamengagement and retention
  
• Continuousimprovement and innovation outcomes