4 days ago

Data Analyst/Architect - Global

KBR, Inc.

Brisbane

4 days ago

Apply

Shape the Future of Data, Analytics and AI on a Global Scale. We're looking for a visionary Data Architect / Data Analyst to lead the design and evolution of enterprise data platforms, architecture frameworks and integration strategies. This global role combines expertise across enterprise architecture, cloud technologies, data engineering, governance and AI enablement.

AI-enabledRemoteFull-timeSeniorData ArchitectureSolution Architecture

Data Analyst/Architect - Global

Apply

AI-enabledRemoteFull-timeSeniorData Architecture

Salary

Not specified

Work Location

Brisbane, Queensland, Australia, AU

Work Model

Remote

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)

Data ArchitectureSolution ArchitectureData EngineeringEnterprise Data PlatformsAzureData ModellingETL/ELTData IngestionLarge-scale Data ProcessingMachine LearningAIEvent-driven ArchitecturesMicroservicesAPI-led IntegrationCloud GovernanceSecurity ArchitectureData PrivacyComplianceDataOpsCI/CDInfrastructure-as-CodeMicrosoft DataverseAzure SQLSQL ServerOracleMicrosoft 365

Soft Skills

Strategic ThinkingStakeholder EngagementCommunicationInfluenceCollaborationInnovation

Preferred Qualifications

Technical (Nice-to-have)

Microsoft Azure Solutions Architect ExpertMicrosoft Azure Data Engineer AssociateDatabricks Certified ProfessionalAI and Machine Learning certifications

Key Responsibilities

•Define and maintain enterprise data architecture frameworks, standards and reference models that support global business objectives.
•Lead the design of scalable, resilient and high-performing data platforms capable of supporting batch, real-time and streaming workloads.
•Develop modern data architectures, integration patterns and solution blueprints that promote consistency, reusability and operational excellence.
•Contribute to the organisation's global Data and AI strategy, ensuring platforms are prepared to support current and future AI capabilities.
•Establish and govern enterprise data models across conceptual, logical and physical layers.
•Oversee integration architectures across key enterprise platforms including Microsoft Dataverse, Azure SQL, SQL Server, Oracle, Microsoft 365 and external systems.
•Drive best practice DataOps, CI/CD and Infrastructure-as-Code approaches to support efficient delivery and operational performance.
•Establish robust governance, security and compliance frameworks, ensuring adherence to regional and global regulatory requirements.
•Partner with business and technology leaders to translate strategic goals and requirements into practical architecture roadmaps and solution designs.
•Provide technical leadership through architecture reviews, governance forums, technology evaluations and strategic investment recommendations.
•Identify emerging technologies and innovative opportunities to enhance data maturity, analytics capability and business outcomes.

Data ArchitectureData AnalystAzureAIMachine LearningEnterprise Data PlatformsGlobalRemoteFull-timeEngineering Services

Core Qualifications

Technical (Must-have)

Soft Skills

Strategic ThinkingStakeholder EngagementCommunicationInfluenceCollaborationInnovation

Key Responsibilities

•Define and maintain enterprise data architecture frameworks, standards and reference models that support global business objectives.

•Lead the design of scalable, resilient and high-performing data platforms capable of supporting batch, real-time and streaming workloads.

•Develop modern data architectures, integration patterns and solution blueprints that promote consistency, reusability and operational excellence.

•Contribute to the organisation's global Data and AI strategy, ensuring platforms are prepared to support current and future AI capabilities.

•Establish and govern enterprise data models across conceptual, logical and physical layers.

•Oversee integration architectures across key enterprise platforms including Microsoft Dataverse, Azure SQL, SQL Server, Oracle, Microsoft 365 and external systems.

•Drive best practice DataOps, CI/CD and Infrastructure-as-Code approaches to support efficient delivery and operational performance.

•Establish robust governance, security and compliance frameworks, ensuring adherence to regional and global regulatory requirements.

•Partner with business and technology leaders to translate strategic goals and requirements into practical architecture roadmaps and solution designs.

•Provide technical leadership through architecture reviews, governance forums, technology evaluations and strategic investment recommendations.

•Identify emerging technologies and innovative opportunities to enhance data maturity, analytics capability and business outcomes.