Top Tech Jobs & Startup Jobs in Melbourne

Own and optimise the marketing technology stack across HubSpot, Salesforce, LinkedIn, GA4 and related platforms. Build dashboards, improve data quality and customer journeys, execute integrated multi-channel campaigns, support account-based marketing, and analyse digital performance and marketing ROI. The role partners with marketing, growth and practice teams to use automation, AI and emerging MarTech to improve conversion, campaign outcomes and commercial impact.

Operate and support production Microsoft Azure environments for managed-services customers. Responsibilities include monitoring platform health, resolving incidents, performing root-cause analysis, implementing automation and Infrastructure-as-Code, managing identity and access through Entra ID, applying security and governance controls, and supporting maintenance, backup, cost optimization, and continuous service improvement. The role also requires customer communication, technical documentation, risk reporting, and collaboration with delivery teams under service-level agreements.

Designs and maintains Power BI dashboards, reports, data models, DAX calculations, and Power Query transformations. Translates business requirements into scalable reporting solutions, provides Power BI administration and troubleshooting, collaborates with stakeholders, documents technical work, and improves data quality and analytics capabilities.

Own revenue, project, and cost accounting across multiple business streams. Lead audit preparation, consolidation, transition accounting, regulatory submissions, reconciliations, and financial controls. Review contracts and Statements of Work for revenue recognition, partner with commercial and operational stakeholders, and support BAS, GST, payroll tax, and ABS reporting. Improve finance policies and processes while applying AASB and IFRS requirements.

Lead enterprise Data and AI transformation engagements using Databricks across AWS and Azure. Define data strategies, roadmaps, governance frameworks, and modern Lakehouse architectures. Design AI-enabled data products using Mosaic AI, GenAI, RAG, Vector Search, MLflow, and agentic AI. Advise executive stakeholders, facilitate architecture workshops, support solution pursuits, and develop reusable architecture patterns for the Data and AI practice.

Lead Microsoft 365 transformation programs, including tenant-to-tenant migrations, M&A integrations, divestitures, and digital workplace transformations. Design architecture, coexistence, cutover, governance, security, and optimization strategies across Teams, SharePoint, OneDrive, and Entra ID. Provide technical leadership to engineering teams and customers, translate business needs into solutions, ensure delivery quality, and mentor consultants and engineers.

Lead technical delivery for an enterprise identity transformation using Okta Workflows and Okta Identity Governance. Design and implement joiner, mover, and leaver automation; access governance; provisioning integrations; identity data remediation; testing; migration; observability; and operational support. Provide principal-level technical leadership, stakeholder consulting, mentoring, and assurance across privacy, security, compliance, resilience, and auditability in a regulated health-sector environment.

Drive new customer acquisition and expansion of Microsoft CSP relationships. Identify, qualify, and close Azure, Azure AI, Copilot, and GitHub opportunities while managing the full sales lifecycle. Build executive relationships, lead commercial discussions, develop proposals, negotiate contracts, and coordinate with Microsoft, Telstra, presales, engineering, and delivery teams to create technology solutions for enterprise customers.

Designs, builds, and optimizes cloud-native data platforms, batch and real-time pipelines, and AI-powered data products using Snowflake, Databricks, AWS, and Azure. The role includes data architecture, governance, quality, observability, security, performance and cost optimization, infrastructure as code, and direct client collaboration. The engineer also contributes to technical design, estimation, delivery planning, and modern AI capabilities such as semantic search and RAG.

Hands-on senior backend engineer responsible for designing, developing, and deploying scalable serverless microservices on AWS. Contribute to architecture, TDD, CI/CD, production readiness, incident firefighting, and adopt AI tools to accelerate development across the full feature lifecycle.