Data Architect (Manager) x 3

AVAILABLE AS PERMANENT AND CONTRACT

Role Summary: As a Data Architect, you will lead the design and implementation of modern data platforms that enable analytics, AI, and business transformation for leading organizations across Australia. You will work closely with business stakeholders, enterprise architects, data engineers, AI specialists, and client executives to define data strategies, architect scalable cloud-native data solutions, and deliver trusted, secure, and AI-ready data foundations. This role combines deep technical expertise in Microsoft data technologies with strong consulting, stakeholder engagement, and delivery leadership capabilities. You will be responsible for shaping client data roadmaps, leading architecture decisions, supporting sales pursuits, and mentoring engineering teams throughout the delivery lifecycle.

Key Responsibilities Data Strategy & Advisory

• Lead data strategy and architecture engagements for enterprise clients.
• Define target-state data platforms, modernization roadmaps, and migration strategies.
• Advise clients on data governance, operating models, data organization design, and AI readiness.
• Translate business priorities into scalable data and analytics solutions.
• Provide executive-level guidance on data platform investments and transformation programs.

Architecture & Solution Design

• Design modern cloud-native data platforms leveraging Microsoft Fabric, Azure Databricks, Azure Data Lake, Azure Data Factory, Azure SQL, Power BI, and Microsoft Purview.
• Define architecture patterns for Lakehouse architectures, data warehouse modernization, data mesh and data products, real-time analytics, streaming and IoT platforms, Master Data Management (MDM), and enterprise semantic models.
• Design scalable, secure, high-performing data ecosystems supporting reporting, analytics, machine learning, and AI initiatives.

AI-Ready Data Foundations

• Design data architectures that support Generative AI, Copilots, Agentic AI, and advanced analytics.
• Establish enterprise knowledge and metadata strategies to improve discoverability and governance.
• Architect data products and semantic layers that enable trusted AI outcomes.
• Collaborate with AI Architects and Engineers to support RAG, enterprise search, and AI solution development.
• Ensure data quality, lineage, observability, and governance principles are embedded across platforms.

Delivery Leadership

• Lead architecture activities across complex client programs.
• Provide technical leadership to Data Engineers, Analytics Engineers, and Solution Architects.
• Conduct architecture reviews, design authority sessions, and technical governance checkpoints.
• Define engineering standards, reusable assets, accelerators, and reference architectures.
• Support successful project delivery through architecture oversight and risk management.

Client Engagement & Business Development

• Act as a trusted advisor to client technology and business leaders.
• Lead architecture workshops and requirements discovery sessions.
• Support proposal development, solution estimation, and technical responses for major pursuits.
• Develop compelling solution narratives and value propositions.