Data Engineering Delivery Leader

XPT Software Australia

City of Melbourne

On-site

AUD 180,000 - 240,000

Full time

2 days ago
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Job summary

XPT Software Australia is seeking an experienced Delivery Manager to lead large-scale Data Engineering programs. You will own end-to-end delivery, including planning, execution, governance, stakeholder engagement, and team leadership across Azure-based data platforms.

You will partner with business leaders, clients, architects, and engineering teams to ensure on-time, on-budget outcomes. Strong background in cloud data architectures, data warehousing, and DevOps is essential.

Qualifications

  • 12+ years of IT experience with at least 5+ years managing large Data Engineering or Analytics programs.
  • Proven experience leading enterprise-scale data transformation initiatives.
  • 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 and ensure alignment with objectives.
  • Establish governance, delivery frameworks, reporting cadence, and risk management.
  • Manage scope, schedule, budget, quality, and resources across concurrent initiatives.
  • Drive Agile, Scrum, and DevOps practices across distributed teams.
  • Provide delivery oversight for Azure-based data platforms and ensure security and best practices.

Skills

Programme leadership
Executive stakeholder management
Client relationship management
Risk and issue management
Strong communication
Team building
Negotiation
Accountability and delivery ownership

Tools

Azure DevOps
Jira
Power BI
Azure Synapse
ADF
SQL Server
Microsoft Fabric

Job description

XPT Software Australia is seeking an experienced Delivery Manager to lead large-scale Data Engineering programs. You will own end-to-end delivery, including planning, execution, governance, stakeholder engagement, and team leadership across Azure-based data platforms.

You will partner with business leaders, clients, architects, and engineering teams to ensure on-time, on-budget outcomes. Strong background in cloud data architectures, data warehousing, and DevOps is essential.

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