Top Data Jobs in Sydney

Maintain Cloudflare’s global data center network and operational availability across remote colocation facilities. Responsibilities include configuring network infrastructure, coordinating contractors and vendors, managing deployments and decommissions, creating SOPs and operational documentation, improving processes through automation and AI tools, supporting troubleshooting and root-cause analysis, and participating in a 24/7 on-call rotation. The role also involves basic program management, cross-functional collaboration, and limited travel.

Leads enterprise change governance and adoption for Data and AI products across merchandising, operations, customer, and corporate domains. Oversees change managers and vendors, establishes readiness and adoption frameworks, tracks value realization, integrates change into agile delivery, and develops enterprise AI literacy with People & Culture. Engages executives and product leaders to embed sustainable data- and AI-enabled ways of working.

Design, develop, and own scalable big data and software solutions for Atlassian’s internal data platform. Collaborate with engineers and architects to ship features, uphold coding standards, and improve security, reliability, availability, performance, and operational excellence. Build and deploy services using distributed systems, cloud platforms, and big data technologies while applying data-driven problem solving.

Own regional data center vendor strategy and end-to-end colocation deals, including planning, RFPs, commercial negotiations, execution, vendor relationship management, QBRs, budgeting, spend review, and invoice approval. The role coordinates with legal, operations, capacity planning, network strategy, and security teams across multiple geographies to expand and optimize Cloudflare’s data center footprint.

Support 5G Core and Cloud Core solutions for carrier-grade customer networks. Lead L2/L3 incident investigations, fault isolation, service restoration, root-cause analysis, and stability improvements across UDM, UDC, Kubernetes, and cloud-native platforms. Collaborate across product, project, service delivery, IMS, EPC, RAN, and BSS teams while providing customer updates, technical guidance, RCAs, automation, documentation, mentoring, and continuous improvement.

Designs and maintains Salesforce Data Cloud data models, ingestion and offload solutions, identity resolution rules, and unified profiles. Manages data onboarding, mapping, validation, documentation, and deployments across development through production environments. Uses Databricks, data lakes, SQL, Python, and batch or streaming pipelines while following formal change management and release governance processes.

Designs, develops, and supports enterprise data integration, visualization, monitoring, and governance solutions using Splunk, NiFi, Starburst, and SAP Banking technologies. Builds ETL/ELT workflows, dashboards, alerts, authentication systems, and data virtualization capabilities. Leads developers and consultants, performs troubleshooting, performance tuning, capacity planning, root cause analysis, release management, access governance, and stakeholder engagement. Documents solutions, reviews code and designs, mentors teams, and translates business requirements into technical solutions.

Build and maintain batch and streaming data pipelines, workflow orchestration, and cloud object-storage architectures. Integrate data engineering outputs with real-time decisioning platforms such as Pega for personalization and customer engagement. Collaborate with DevOps, architects, analytics, QA, and operations teams to ensure data quality, governance, observability, and reliable releases. Support Agile delivery, technical documentation, dependency management, SIT, UAT, and data validation across environments.

Leads program-level data management activities for maritime defence programs, ensuring technical data and documentation are accurately controlled, delivered, secure, and compliant. Responsibilities include administering data management platforms, managing records and controlled information, coordinating Jira activities, supporting process libraries, guiding documentation reviews, and advising stakeholders on data governance, export controls, and information-sharing requirements.

Analyze high-volume telecommunications network data using SQL and Python, build Power BI and Tableau dashboards, automate reporting, and deliver stakeholder-facing insights. Monitor network KPIs across 2G, 3G, 4G-LTE, VoLTE, and 5G-NR to support performance improvements, increase reporting adoption, and reduce manual analysis. Collaborate through Agile/Scrum practices using Jira, Confluence, SharePoint, and cloud data platforms.

Design, build, and operate scalable GCP data infrastructure and ETL/ELT pipelines for high-volume and petabyte-scale workloads. Develop streaming systems with Dataflow and Pub/Sub, optimize BigQuery data models, ensure data quality and security, and manage production operations. Collaborate with data scientists, analysts, product managers, and engineers while implementing CI/CD, DataOps, infrastructure as code, cloud networking, and secure enterprise architectures.

Leads the design, delivery, and evolution of Qantas’ enterprise data platforms. The role establishes technical strategy and engineering standards, develops scalable cloud-based data solutions, oversees reliability, security, governance, observability, and cost optimization, and drives integration across complex ecosystems. It also includes architecture reviews, production readiness, incident response, stakeholder engagement, mentoring engineers, and adoption of modern data, analytics, and AI technologies.

Hunter-focused Business Development Manager responsible for selling data quality solutions, acquiring new business within existing accounts, prospecting new logos, managing opportunities, and closing deals. The role covers data validation, management, enrichment, and single customer view solutions across multiple industries. Candidates need at least two years of lead generation and sales experience, business development expertise, opportunity-closing experience, and strong needs-analysis skills.

Lead end-to-end deployment of modular data centre infrastructure projects, from planning and site readiness through installation, commissioning, performance testing and customer handover. Manage contractors, vendors and multidisciplinary teams across mechanical, electrical, civil, controls and IT scopes. Own safety, quality, schedule, customer satisfaction, commercial performance and risk mitigation while coordinating stakeholders and mentoring project teams. Support Autodesk Construction Cloud implementation and continuous improvement across project delivery processes.

Build and operate Airtasker’s data platform, including dbt models, Python and SQL pipelines, AWS infrastructure, Terraform, Dagster orchestration, ingestion connectors, and self-service analytics datasets. Improve data quality, testing, monitoring, CI/CD, documentation, and platform reliability while collaborating with analysts, data scientists, engineers, and business stakeholders. Support production machine learning use cases and automate workflows across the data lifecycle.

Drive enterprise data sales for FactSet’s Content and Off-Platform Technology solutions. Build relationships with buy-side, sell-side, and strategic partner clients; identify opportunities; develop value propositions and proposals; manage sales pipelines; and coordinate with sales, consulting, implementation, product, and client services teams. Serve as a subject-matter expert on financial data solutions, deliver client education, provide product feedback, and develop strategies that support growth, deployment, satisfaction, and retention.

Leads workforce forecasting, supply and demand analysis, scenario modeling, dashboards, labor market intelligence, and talent mapping across projects and business units. Partners with Talent Acquisition and senior stakeholders to identify capability gaps, future hiring needs, and workforce risks. Improves workforce analytics, reporting, automation, data quality, and planning frameworks while translating complex data into practical business insights that support talent and business strategy.

Leads client-facing architecture and implementation of State Street Alpha Data Platform and Data Services solutions. Responsibilities include requirements definition, solution design, implementation oversight, data integrations, testing, go-live support, defect resolution, scope management, vendor collaboration, and post-launch adoption. The role requires expertise in asset management data across front, middle, and back offices, financial data domains, data governance, SQL, and business analysis and project management.

Leads client data analytics and AI engagements from problem definition through delivery. Translates complex business challenges into practical data-driven solutions, covering data management, analytics, visualization, governance, architecture, and applied AI. Develops client deliverables such as requirements, process maps, dashboards, operating models, and implementation roadmaps. Builds stakeholder relationships, advises on responsible AI, contributes to practice growth, and coaches junior team members.

Designs and maintains scalable data pipelines and models, centralizes enterprise data in a warehouse, and processes hundreds of millions of daily events. Leads technical solution design, promotes coding, DevOps, metadata, and testing standards, and integrates AI tools into engineering workflows. Collaborates with Product, Cyber Security, Platform Engineering, and stakeholders to deliver data publishing solutions, resolve incidents, document systems, and shape requirements.

Designs end-to-end ESG data integration solutions, including Databricks pipelines, enterprise data models, reporting architectures, data mappings, validation controls, and reconciliation processes. The role integrates SAP Finance and non-SAP sustainability data sources, supports carbon and environmental metrics reporting, and partners with Finance, Sustainability, Data Engineering, and IT stakeholders to deliver regulatory and executive reporting solutions.

Designs, builds, optimizes, and supports scalable batch and streaming data pipelines and lakehouse solutions using Azure Databricks and related Azure services. Develops ingestion, transformation, validation, and publishing frameworks; implements Delta Lake and medallion architectures; optimizes Spark workloads; builds CI/CD processes; applies security and governance controls; monitors production systems; and provides technical leadership, code reviews, and mentoring.

Manage client relationships for investor intelligence and investor relations services. Responsibilities include onboarding clients to the ingage CRM platform, delivering shareholder analysis and ownership insights, providing training and ongoing support, managing account satisfaction and retention, identifying growth opportunities, and advising listed companies on investor engagement and market insights. The role also involves cross-functional collaboration, board-level support, and continuous improvement of client delivery processes.

Own the full enterprise software sales cycle for Data Foundations solutions, including territory strategy, account planning, prospecting, solution selling, executive engagement, negotiation, closing, forecasting, and quota attainment. Build relationships with data, analytics, IT, procurement, and business leaders while identifying data management and analytics challenges. Coordinate Business Development, Solutions Engineering, Customer Success, Marketing, Alliances, and leadership teams to drive customer outcomes.

Partners with business and technical teams to identify, shape, assess, and prioritise high-value data, analytics, and AI opportunities. Translates business challenges into practical solutions, decision-ready concepts, strategies, and roadmaps. Maintains the opportunity pipeline, evaluates delivery pathways, supports prioritisation, helps resolve delivery blockers, and ensures alignment with intended business outcomes and enterprise capability roadmaps.