• Provide expertise in guiding the design of solutions utilising or extending BHP’s core data platforms – such as Integration, Data Warehousing, Data Lakes, Business Intelligence/Visualisation, Advanced Analytics, AI/ML, Generative AI, Agentic AI frameworks and orchestration.
• Ensure architectural adherence and conformance throughout initiative and project lifecycle via architecture governance routines and engagements.
• Champion the adoption of BHP Data & AI platforms throughout the wider BHP, engaging various teams, articulating and demonstrating value and driving customer advocacy.
• Define, communicate and maintain standards, frameworks, guidelines and best practice design patterns for data platform orientated solutions.
• Fulfil (where necessary) both program architecture roles and solution architecture roles on projects.
• Pro-actively engage and collaborate with Global Architecture, Cyber Security, Data Platform Teams, Project Teams, Cloud & Network and other technology teams (Integration, ServiceNow, ERP, Microsoft 365 etc).

About You

• Extensive experience in architecting roles including technical architecture, solution architecture, data architecture, integration architecture and/or or enterprise architecture, together with several years professional exposure to modern Data and AI centric platforms, technologies and infrastructure - including enterprise data warehouses/data lakes, master data, integration platforms, visualisation, advanced analytics and emergent AI technologies (AI/ML, Generative AI, Agentic AI frameworks).
• 2+ years of experience architecting with data centric PaaS or SaaS services – cloud data warehouses, Microsoft Azure and AWS cloud data and AI services (e.g. S3, Sagemaker, Bedrock, OpenAI, Copilot Studio).
• Understanding of patterns, techniques and principles relating to enterprise integration (API, MFT, Data Integration, Pub/Sub and messaging), data warehousing, data hubs, advanced analytics solutions and emergent AI capabilities (AI/ML, Generative AI, Agentic AI).
• Proficient in architecture modelling (Archimate) and architecture modelling tools (e.g. iServer). Significant experience in architecture leadership and coordination roles on major data platform projects.
• Experience in the creation of data platform related standards, patterns and/or reference architectures. Proven stakeholder management and coaching skills. Drive for continuous learning/improvement and adaptable to new technologies and approaches.

Desirable:

• AWS or Azure certifications in cloud engineering and/or data engineering, Experience with Microsoft and Azure data and AI technologies – including Microsoft Fabric, Open AI, AI Foundry, Copilot and Copilot studio.
• Experience in design and architecture of emergent AI capability – including GenAI, LLMs, prompt engineering, RAG patterns, Agent implementation and frameworks.