Proven experience designing and delivering end-to-end data and analytics architectures (ingestion, storage, processing, consumption).
Minimum 10+ years in roles defined as a Solution Architect. Strong expertise in modern data platforms (cloud data lakes, data warehouses) and cloud ecosystems (Snowflake, Azure).
Ability to design scalable, secure, and high-performance data pipelines and integration patterns (batch and real-time).
Strong understanding of data governance, data quality, lineage, and metadata management.
Ability to evaluate and select appropriate tools, technologies, and architectural patterns aligned to business needs.
Experience collaborating with cross-functional teams including data engineering, analytics, and business stakeholders.
Documentation & Communication
Demonstrated ability to produce high-quality architectural artefacts (HLDs, LLDs, data models, integration diagrams, decision logs).
Strong, clear, and structured documentation skills, ensuring artefacts are auditable and maintainable.
Ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
Experience contributing to architecture governance forums and presenting design decisions.
Maintain comprehensive documentation aligned with enterprise standards and lifecycle practices.
Additional Requirements
TOGAF qualification (or equivalent). Familiarity with enterprise architecture practices, including standards, patterns, and review processes.
Exposure to data security, privacy, and regulatory compliance requirements.
Experience with data cataloguing, governance tools, and metadata platforms.
Duration: 06 Months and possible extension
Eligibility: Australian/NZ Citizens/PR Holders only
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