At a Glance
- Tasks: Lead data engineering initiatives and oversee enterprise data platforms for impactful business outcomes.
- Company: Join XPT Software, a dynamic tech company with a global presence and diverse client base.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a culture that values innovation, automation, and continuous improvement.
- Why this job: Make a real impact in data modernization and drive innovation in a collaborative environment.
- Qualifications: 10+ years in data engineering and strong leadership skills required.
The predicted salary is between 121500 - 148500 $ per year.
- 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: Data Engineering Leadwith MS Fabric
Position Summary
The Data Engineering Lead is responsiblefor the end-to-end ownership, governance, delivery, support, optimization, andstrategic roadmap of the organization's Digital Engineering and Data Platforms.This role provides leadership across data integration, data warehousing,analytics, automation, reporting, AI-enabled data platforms, and enterpriseapplication ecosystems.
The role will oversee a portfoliocomprising Microsoft Fabric, Azure Synapse Analytics, Data Lake, Informatica,Azure Integration Services, Power BI, Power Automate, Nintex, UiPath, GitHub,SecurePay, Message Exchange Portal, Blue Care Application, and associatedenterprise platforms. The individual will drive data modernization initiatives,ensure operational excellence, maintain platform reliability, and lead teamsdelivering data-driven business outcomes.
Key Responsibilities
- Ownenterprise data platform strategy, architecture, governance, and roadmap.
- Leadmodernization of Azure Data Lake, Synapse, and Microsoft Fabricenvironments.
- Ensurescalable, secure, and cost-effective data engineering solutions.
- Defineenterprise data standards, data quality frameworks, and metadatamanagement practices.
- Supportadvanced analytics, reporting, AI, and business intelligence initiatives.
Data Integration & ETL Management
- Manageenterprise integrations using:
- Informatica
- MessageExchange Portal
- APIsand event-driven integrations
- GovernETL/ELT pipelines and enterprise data flows.
- Ensuredata availability, integrity, consistency, and performance acrossplatforms.
- Leadenterprise Power BI strategy and service delivery.
- EstablishBI governance and reporting standards.
- Partnerwith business stakeholders to deliver actionable insights and executivedashboards.
- Driveself-service analytics adoption.
Service Delivery & Operations
- Ownservice management processes aligned to ITIL standards.
- ManageL2/L3 support teams and vendor engagements.
- EnsureSLA, KPI, availability, and performance targets are achieved.
- Driveincident, problem, change, and release management activities.
- Establishoperational dashboards and executive reporting.
Stakeholder Management
- Collaboratewith business leaders, architects, security teams, vendors, and externalpartners.
- Translatebusiness requirements into scalable technical solutions.
- Presentplatform roadmaps, risks, and performance metrics to senior leadership.
Governance & Compliance
- Ensurecompliance with enterprise security, privacy, and regulatory requirements.
- Implementdata governance and access management frameworks.
- Maintainaudit readiness and risk mitigation controls.
- Leadand mentor Data Engineers, Data Analysts, Integration Specialists, BIDevelopers, and Platform Engineers.
- Drivecapability development and technical excellence.
- Fostera culture of innovation, automation, and continuous improvement.
Required Experience
- 10+years in Data Engineering, Analytics, Integration, or EnterpriseApplications.
- 5+years leading enterprise-scale data and integration platforms.
- Experiencemanaging production support and application delivery teams.
- Strongstakeholder management experience across business and technology teams.
- Experiencemanaging multiple vendors and managed service providers.
Demonstrate strong written and verbalcommunication skills to interact effectively with stakeholders, end users, andcross-functional teams.
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Data Engineer Lead in Sydney employer: XPT Software
XPT Software is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of AI governance. Located at the heart of Defence operations, employees benefit from unique opportunities to engage with industry leaders and contribute to meaningful projects that enhance national security. With a strong focus on professional development, XPT Software supports employee growth through continuous learning and mentorship, making it an ideal place for those looking to make a significant impact in their careers.
