Job Description
Role Summary
As a
Data Architect (Manager)
Data & AI | Avanade Australia
Role Summary
As a Data Architect at Avanade, you will lead the design and implementation of up-to-date data platforms that enable analytics, AI, and business transformation for some of Australia's leading organizations.
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 solid 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
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)
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.
Qualifications
Required Skills & Experience
Data Architecture
10+ years of experience in data engineering, data architecture, or analytics platform delivery.




Proven experience designing enterprise-scale data platforms on Azure.
Strong understanding of modern data architecture principles and patterns.
Experience delivering large-scale cloud migration and modernization programs.
Microsoft Data Platform Expertise
Strong Experience Across Several Of The Following
Microsoft Fabric
Azure Databricks
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Power BI
Microsoft Purview
Azure Event Hub and Streaming Services
Governance & Information Management
Experience With
Data Governance
Data Quality Management
Metadata Management
Master Data Management
Data Lineage
Information Security
Privacy and Regulatory Compliance
Leadership & Consulting
Experience leading architecture workstreams and technical teams.
Strong stakeholder management and executive communication skills.
Demonstrated ability to engage C-suite and senior technology stakeholders.
Experience developing proposals, architecture assessments, and transformation roadmaps.
Ability to translate complex technical concepts into business outcomes.
Preferred Experience
Enterprise analytics modernization programs.
AI and Generative AI enablement initiatives.
Data Operating Model and Data Product implementations.
Data Mesh and Distributed Data Architectures.
Managed services and platform operations.
Preferred Certifications
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Highly Desired
Microsoft Certified: Azure AI Engineer Associate
Desirable
Databricks Certified Data Engineer Qualified
Databricks Certified Data Architect
Microsoft Certified: Azure AI Engineer Associate

📌 Data Architecture Manager (New South Wales)
🏢 Avanade
📍 New South Wales