Top Data Jobs in Sydney

Own and govern investment data and platform support for front-office workflows. Manage data quality, security master and reference data processes, coordinate onboarding of securities/benchmarks/market data, partner with State Street and vendors to resolve platform issues, and support testing and implementation of platform enhancements (Charles River, Alpha Data Platform).

Lead pre-sales architecture for enterprise data and AI solutions built on Salesforce Data Cloud and Agentforce. Design integrations with hyperscalers, data lakes, external agents, APIs, and governance frameworks. Develop prototypes, demos, prompts, agent lifecycle strategies, and technical enablement materials. Facilitate customer workshops, advise on data modeling and activation, and support early proof-of-value engagements. Partner with sales and product teams while serving as a technical advisor to enterprise data and architecture leaders.

The Customer Technology Advisor drives technology solutions, collaborates with partners to deliver value, and supports pre-sales processes, leveraging technical expertise and consultative selling to exceed customer expectations.

Provide pragmatic commercial legal advice, lead drafting and negotiation of complex commercial and technology contracts, support major projects and strategic initiatives, identify and manage legal and regulatory risk, build strong stakeholder relationships, and contribute to process improvement and mentoring within the in-house legal team.

Build and maintain secure, scalable batch and real-time data pipelines for payment and transaction data. Integrate APIs, databases, files, event streams, and third-party platforms; develop Snowflake data objects, tests, orchestration, monitoring, reconciliation, and recovery processes. Optimize platform performance, apply governance and security practices, troubleshoot issues, and provide rotational on-call support while partnering with analysts and stakeholders in Agile teams.

Analyze trends, acquisition funnels, segmentation, experiments, and channel performance to generate actionable business insights. Translate complex data into recommendations, support product and commercial strategy, inform requirements, and measure feature effectiveness. Collaborate with Product, Engineering, Marketing, Commercial, and data teams while strengthening reporting and analytics capabilities.

Develop and productionize predictive models and AI solutions using large datasets and feature stores. Responsibilities include financial and valuation modeling, personalization, growth and retention analytics, model deployment and maintenance in the cloud, automation, MLOps improvement, stakeholder collaboration, documentation, and delivery of projects within schedule and budget.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

Join Speechify's AI team as a Software Engineer responsible for data collection and infrastructure management to enhance model training operations.

The Strategic Account Manager will manage commercial relationships with ANZ utility subscriptions, focusing on account expansion, renewals, and building executive relationships within accounts to ensure long-term growth and strategic direction.

Lead the optimization and scaling of Airtree’s data infrastructure across Snowflake, dbt, AWS Lambda, and Streamlit. Build reliable ETL/ELT pipelines, improve data models, support investment origination and portfolio reporting, enhance dashboards, identify system bottlenecks, and promote data-driven decision-making. Collaborate with investment, strategy, investor relations, and finance stakeholders while translating complex technical concepts into practical insights.

Analyze crypto portfolio and market data, build dashboards and reports, monitor asset performance, automate data workflows, ensure data integrity, and present actionable insights to finance, investment, and other stakeholders.

Develop and deploy scalable machine learning and mathematical optimization models for Walmart’s inventory decision systems. Responsibilities include data exploration, feature engineering, model validation, data quality assessment, visualization, governance, and production readiness. The role translates complex inventory and business requirements into automated, data-driven decisions while collaborating with engineering, product, and business stakeholders.

Manage and optimize high-load Microsoft SQL Server databases, including advanced T-SQL development, query and execution-plan optimization, indexing, locking, memory, disk performance, AlwaysOn availability, maintenance, recovery, security, integrity checks, monitoring, and incident resolution. Support analysts and ML engineers with reliable data access across databases reaching tens of terabytes.

Supports Agile delivery for a federal government data program as Scrum Master and Business Analyst. Responsibilities include facilitating Scrum ceremonies, managing backlogs, tracking milestones, risks and dependencies, gathering requirements, mapping processes, developing user stories and documentation, facilitating stakeholder workshops, and supporting testing, implementation, governance and change activities.

Manage multiple concurrent data centre infrastructure projects across the AusPac region from proposal handover through commissioning and closeout. Lead engineering, procurement, logistics, installation, commissioning, contractors, budgets, schedules, risks, quality, HSE, contractual obligations, and customer communications. Coordinate cross-functional teams delivering temporary power, cooling, generators, load banks, BESS, and related critical infrastructure while ensuring safe, timely, profitable, and high-quality execution. Drive issue resolution, stakeholder alignment, continuous improvement, and lessons learned.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.

Analyzes supporter behavior, fundraising performance, campaigns, retention, and lifetime value to identify actionable growth opportunities. Maintains data quality, dashboards, reports, visualizations, and audience segmentation while supporting predictive analysis and business intelligence improvements across Salesforce and other fundraising systems. Partners with stakeholders to translate complex data into clear recommendations and promote data-driven decision-making.

Monitor and optimize data pipeline reliability, performance, and SLA compliance. Design data quality tests, investigate incidents, perform root-cause analysis, and implement preventive measures. Apply SRE practices to improve alerting, resilience, and recovery while developing automation that reduces manual intervention. Collaborate with data engineers, researchers, and market data teams to deliver accurate, available, trusted data supporting trading and research.

Lead data conversion for Workday Student implementations across the full project lifecycle. Responsibilities include defining conversion approaches, analyzing legacy student data, mapping and transforming data, managing mock loads and validation, resolving data-quality issues, supporting testing and cutover, and coordinating production deployment. The consultant leads customer workshops, communicates risks, mentors others, and collaborates with project managers, functional consultants, and technical teams to deliver accurate student data conversions.

Lead ANZ solutions sales, unite specialist teams, drive regional commercial strategy, coach account managers, influence cross-functional stakeholders, manage pipeline and forecasting, and scale go-to-market execution to grow enterprise B2B revenue.

Lead ABB’s go-to-market strategy and national growth across data centre and defence infrastructure sectors. Develop sales pipelines, manage forecasting, build relationships with customers, developers, investors, consultants, contractors, and channel partners, and position ABB’s low-voltage solutions as preferred offerings. The role combines technical knowledge of LV electrical systems with commercial strategy, stakeholder engagement, opportunity management, and cross-functional collaboration.

Partner with product, business, and operations teams to drive strategic decisions through data. Design and analyze A/B tests, build data models and dashboards, define and forecast key metrics, and communicate insights to technical and non-technical audiences. The role also involves mentoring data professionals and promoting best practices in experimentation, instrumentation, data warehousing, and data integrity.

Leads enterprise data governance and management initiatives, focusing on data retention, minimisation, access management, regulatory compliance, and risk reduction. Partners with business and technical stakeholders to develop data strategies and roadmaps, deliver Agile data initiatives, monitor control effectiveness, support prioritisation and business cases, report progress, and promote data literacy and best practices.

Drive sales and partnerships within the Public Sector by leveraging Databricks' platform, managing relationships with stakeholders, and executing end-to-end sales cycles.