Top Azure Jobs in Sydney

Designs and leads enterprise Data & AI solutions on the Databricks Lakehouse across major cloud platforms. The role delivers end-to-end implementations, builds Spark and Delta Lake pipelines, optimizes performance and costs, and establishes DevOps, governance, security, and MLOps practices. It also involves customer workshops, executive presentations, stakeholder engagement, team mentoring, and architecture leadership throughout delivery.

Senior Data Engineer responsible for modernizing and simplifying data platforms across legacy and cloud environments. The role involves designing Snowflake, dbt, and Azure Data Factory solutions; supporting SQL Server warehouses; building pipelines and data products; improving reliability, governance, security, lineage, and operational excellence; and partnering with stakeholders during platform transformation. The engineer will also help enable future AI and machine-learning workloads through quality data products, model-supporting pipelines, and monitoring capabilities.

Develop scalable full-stack software through hands-on coding, testing, debugging, and troubleshooting. Lead technical discussions, independently deliver medium-sized projects, improve engineering practices, and mentor junior engineers. Collaborate with product managers, stakeholders, and engineering teams while contributing to architecture, maintainability, and company objectives. The role primarily emphasizes backend development using Node.js, microservices, cloud services, CI/CD, TypeScript, GraphQL, WebSockets, Pub/Sub, PostgreSQL, and Elasticsearch, with frontend experience preferred.

Lead IT operations across Australia and New Zealand, managing infrastructure, end-user support, Microsoft 365, access controls, cybersecurity coordination, business systems, vendors, assets, and technology projects. The role supervises an IT Administrator, connects local operations with Global IT, supports onboarding and offboarding, maintains policies and continuity plans, and drives technology improvements while remaining hands-on.

Owns operational performance of AWS, Azure, and Microsoft 365 cloud services. Leads cloud engineers, governance, security, disaster recovery, incident and problem management, platform lifecycle, cost optimisation, infrastructure automation, landing zones, and production support. The role manages cloud operating models, stakeholder reporting, vendor relationships, compliance, platform engineering practices, and continual service improvement across enterprise managed services environments.

Leads UniSuper’s data science capability and a specialist team delivering predictive models, machine learning, and advanced analytics. Sets technical standards, oversees model development and production maintenance, establishes governance, monitors performance and fairness, and translates analytical outputs into business decisions. Partners with senior stakeholders and Product Owners to identify valuable opportunities, prioritizes work, evaluates commercial and operational impact, and supports financial crime, efficiency, and regulatory objectives.

Serve as a customer-facing technical advisor helping industrial organizations adopt Seeq and implement analytics solutions. Responsibilities include solution reviews, implementation guidance, customer mentorship, use-case discovery, adoption planning, troubleshooting, product feedback, functionality testing, and industry-specific consulting. The role requires translating customer needs into scalable analytics solutions, building stakeholder trust, and collaborating with account, product, marketing, and consulting teams.

Lead data-focused business analysis for data platform, data product, and governance engagements. Act as the customer proxy, investigate and validate data using SQL, interpret models and mappings, and translate business needs into technical requirements. Facilitate workshops, define acceptance criteria, support prioritization and UAT, and produce clear documentation. Partner with technical leads to shape solutions and apply a data product perspective focused on outcomes, value, and delivery.

Develop and execute technical strategies for MSP partners across EMEA. Lead cloud security solution architecture, technical demos, enablement, integrations, and partner evangelism. Advise partners on securing AWS, Azure, GCP, containers, infrastructure, identities, and applications while supporting deal acceleration and technical business delivery. Travel up to 40% as needed.

Build and operate end-to-end machine learning pipelines, including training, evaluation, deployment, monitoring, and model serving. Automate CI/CD, infrastructure provisioning, and reproducible environments; manage distributed GPU training across cloud and on-premises platforms; and maintain reliable, scalable inference services. Improve ML tooling, monitor production health, troubleshoot failures, and support deployment of multimodal geospatial models into customer environments.

Provides incident response, cyber investigations, penetration testing, adversary simulation, exploitation, attack path analysis, and security advisory services. The consultant investigates breaches, analyzes digital evidence, develops remediation recommendations, assesses security controls, produces executive and litigation-ready reports, supports client engagements and proposals, and collaborates with cybersecurity, forensic, legal, and IT teams.

Deliver complex IT infrastructure projects from planning through implementation and transition to operations. Configure and migrate Microsoft 365, Azure, identity, endpoint, server, networking, security, backup, and recovery environments. Provide technical leadership across concurrent projects, manage risks, maintain documentation, troubleshoot implementation issues, and collaborate with clients, vendors, and internal teams while meeting quality and security standards.

Leads APAC integration-driven commercial growth by designing scalable solutions that combine products, data, and platforms. Partners with sales, account management, product, engineering, technology, and enterprise data teams on complex deals, renewals, and expansions. Builds business cases, resolves technical and commercial objections, guides proofs of concept, tracks value capture, develops solution playbooks, and mentors regional revenue teams. Requires strong cloud, data integration, AI, automation, stakeholder management, and APAC market expertise.

Leads technical pre-sales engagements for Couchbase’s data platform, consulting with customers, conducting discovery workshops and demonstrations, managing proofs of concept, designing application and database solutions, and advising stakeholders from developers to executives. Partners with sales, Product Management, and Engineering while developing technical collateral and providing customer and competitive insights.

Designs and supports Nutanix infrastructure, virtualization, cloud, and hybrid multicloud solutions for partners and customers. Responsibilities include pre- and post-sales technical engagement, solution architecture, sizing, configuration, proposals, tenders, proof of concepts, workshops, training, troubleshooting, technical escalation, and partner enablement. The role collaborates with Nutanix, sales, vendor, and technical teams to modernize infrastructure and drive solution adoption and revenue.

Own the strategy, roadmap, backlog, and delivery of internal IT data products supporting modern IT service and asset management. Translate customer needs into user stories, personas, journeys, and experiments; collaborate with stakeholders and Agile teams; and make data-driven decisions across data pipelines, governance, quality, and cloud data platforms.

Experienced POS Test Engineer embedded in an agile scrum team, responsible for reviewing requirements, defining acceptance criteria, planning and executing functional and non-functional testing, triaging defects, supporting UAT, and driving shift-left QA improvements. The role emphasizes test automation, risk-based regression testing, exploratory testing, API and database testing, continuous integration, and collaboration with developers and business users to improve software quality.

Lead the design and development of cloud-based data platforms using Azure and Databricks. Build and optimize ETL/ELT pipelines, data models, warehouses, lakes, and integrations; implement governance, monitoring, and troubleshooting; and create Power BI reports. Collaborate with product managers and cross-functional teams to deliver scalable, high-quality data solutions, while documenting processes and applying coding and DevOps best practices.

Leads day-to-day security operations across retail, ecommerce, distribution, and corporate environments. Oversees monitoring, detection, incident response, vulnerability management, tooling, and remediation. Manages the outsourced SOC, including SLAs, detection coverage, reporting, governance, and performance assurance. Maintains operational security controls, incident runbooks, audit evidence, and compliance with PCI DSS, UK GDPR, ISO 27001, and NIST CSF. Partners with technology, ecommerce, infrastructure, legal, risk, and privacy teams.

As an AI Consulting Solutions Engineer, you'll lead pre-sales efforts for Netskope's AI Security products, assist sales teams, engage customers, and collaborate with product management.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Lead technical solution architecture and delivery for cloud data/ETL projects on GCP. Design data warehouses, model data, translate requirements into ETL/SQL code, coach developers, manage 1-2 small projects, collaborate with PMs/DBAs/QA, produce design documentation, and support clients and analytics teams.

Lead and grow a global team of Designated Support Engineers delivering white-glove post-sales technical support. Hire, mentor, and scale the team, drive process improvements and KPIs, coordinate across field, product, and engineering to resolve technical issues, run support QBRs, and advocate for enterprise customer needs to improve satisfaction and time-to-mitigation.

Build and operate the next-generation MongoDB Cloud Storage Layer: design and ship production Rust services for multi-tenant distributed storage, diagnose performance regressions, mentor engineers, drive cross-team technical strategy, participate in on-call rotation, and contribute to roadmap and customer escalations.

Leads and manages an analytics engineering team while setting organization-wide standards for data modeling, governance, observability, and self-service analytics. Designs scalable dbt and Databricks data models, semantic layers, data contracts, and reliable data products integrated with Tableau. Drives CI/CD, automated testing, documentation, pipeline performance, data quality, and cross-functional alignment across engineering, analytics, commercial, product, and data science teams.