Job description: DataEngineering Lead with MS Fabric Position SummaryThe Data Engineering Lead is responsible for the end-to-end ownership,governance, delivery, support, optimization, and strategic roadmap of theorganization's Digital Engineering and Data Platforms.
This role providesleadership across data integration, data warehousing, analytics, automation,reporting, AI-enabled data platforms, and enterprise application ecosystems.The role will oversee a portfolio comprising Microsoft Fabric, AzureSynapse Analytics, Data Lake, Informatica, Azure Integration Services, PowerBI, Power Automate, Nintex, UiPath, GitHub, SecurePay, Message Exchange Portal,Blue Care Application, and associated enterprise platforms.
The individual willdrive data modernization initiatives, ensure operational excellence, maintainplatform reliability, and lead teams delivering data-driven business outcomes.Key ResponsibilitiesData Platform LeadershipOwn enterprise data platform strategy, architecture, governance, and roadmap.Lead modernization of Azure Data Lake, Synapse, and Microsoft Fabric environments.Ensure scalable, secure, and cost-effective data engineering solutions.Define enterprise data standards, data quality frameworks, and metadata management practices.Support advanced analytics, reporting, AI, and business intelligence initiatives.Data Integration & ETL ManagementManage enterprise integrations using:InformaticaAzure Integration ServicesMessage Exchange PortalAPIs and event-driven integrationsGovern ETL/ELT pipelines and enterprise data flows.Ensure data availability, integrity, consistency,



and performance across platforms.Analytics & Business IntelligenceLead enterprise Power BI strategy and service delivery.Establish BI governance and reporting standards.Partner with business stakeholders to deliver actionable insights and executive dashboards.Drive self-service analytics adoption.Service Delivery & OperationsOwn service management processes aligned to ITIL standards.Manage L2/L3 support teams and vendor engagements.Ensure SLA, KPI, availability, and performance targets are achieved.Drive incident, problem, change, and release management activities.Establish operational dashboards and executive reporting.Stakeholder ManagementCollaborate with business leaders, architects, security teams, vendors, and external partners.Translate business requirements into scalable technical solutions.Present platform roadmaps, risks, and performance metrics to senior leadership.
Governance & ComplianceEnsure compliance with enterprise security, privacy, and regulatory requirements.Implement data governance and access management frameworks.Maintain audit readiness and risk mitigation controls.
Team LeadershipLead and mentor Data Engineers, Data Analysts, Integration Specialists, BI Developers, and Platform Engineers.Drive capability development and technical excellence.Foster a culture of innovation, automation, and continuous improvement.
Required Experience10+ years in Data Engineering, Analytics, Integration, or Enterprise Applications.5+ years leading enterprise-scale data and integration platforms.Experience managing production support and application delivery teams.Proven experience delivering cloud-based data modernization programs.Robust stakeholder management experience across business and technology teams.Experience managing multiple vendors and managed service providers.Demonstrate strong written and verbal communication skills to interacteffectively with stakeholders, end users, andcross-functional teams.

📌 Data Engineering Lead (Brisbane)
🏢 XPT Software Australia Pty
📍 Brisbane