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Cloud Solution Architecture, Data & AI

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
Australia , Melbourne

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. As a Cloud Solution Architect (CSA) for Data & AI, you will operate as a senior technical leader responsible for shaping how enterprise customers modernize their data estates and unlock production-scale AI transformation. In this role, you will lead complex, high-impact engagements across strategic customers, guiding the design and adoption of AI-ready data platforms that power Generative AI, Copilot, and agent-based solutions. You will work at the intersection of data, AI, and cloud platforms to drive end-to-end transformation; from foundational data architecture through to production AI outcomes at scale. You will act not only as a delivery leader, but as a thought partner and strategic advisor, influencing customer roadmaps, platform decisions, and Microsoft solution plays across industries.

Job Responsibility:

  • Lead and own end-to-end architecture and technical strategy for large-scale data and AI transformation programs across enterprise and public sector customers
  • Architect and drive adoption of enterprise-grade data platforms (lakehouse, real-time streaming, governance and compliance frameworks) aligned to AI-enabled use cases
  • Enable and scale production AI workloads (GenAI, RAG, Copilot, AI agents) by ensuring strong alignment between data platforms, applications, and business processes
  • Operate as a technical leader across multiple engagements, stepping into complex or at-risk scenarios to unblock delivery, resolve architectural challenges, and accelerate outcomes
  • Influence and align senior stakeholders across Data, AI, Infrastructure, Security, and Partner ecosystems, driving decisions in highly ambiguous and dynamic environments
  • Translate architectural decisions into business value, measurable impact, and consumption growth, shaping customer investment and long-term platform strategy
  • Contribute to solution play development, reusable IP, and best practices, helping scale learnings and standardize patterns across customers and teams
  • Mentor and guide other CSAs, sharing expertise and elevating technical capability across the team

Requirements:

  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, Data Science, or related field, or equivalent experience
  • 8+ years of experience in Data Science, Data Engineering, Data Analytics, or related technical disciplines
  • Significant experience in leading customer-facing architecture and delivery engagements, including influencing senior technical and business stakeholders
  • Deep expertise in data platform architecture, including large-scale analytics systems, distributed data processing, real-time architectures, and enterprise data governance
  • Proven ability to design and enable AI and advanced analytics workloads, including familiarity with modern AI patterns such as retrieval-augmented generation and AI-driven applications

Nice to have:

  • Experience with Microsoft Azure data and AI services (e.g., Azure Synapse, Microsoft Fabric, Azure Data Factory, Azure SQL, Power BI, Azure AI services)
  • Strong understanding of data modeling, optimization, performance tuning, and enterprise data architectures
  • Demonstrated ability to operate with a T-shaped skill profile, combining deep technical specialization with broad cross-domain knowledge across AI, applications, infrastructure, and security
  • Experience leading or contributing to large-scale cloud transformation or AI adoption programs across multiple business units or customers
  • Track record of influencing architecture standards, reusable patterns, or strategic technical direction within an organization or customer environment

Additional Information:

Job Posted:
May 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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