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Principal Enterprise Architect - Data & Knowledge

SeniorFull-timeHybridBrisbane QLD, AustraliaPosted 5 months agoVerified 11 hours ago
Pending fitX of Y criteria met

About the job

The Principal Enterprise Architect - Data & Knowledge at TechnologyOne is a pivotal job focused on designing and leading the modern data and knowledge architecture for the Data & AI Platform. This position plays a crucial role in establishing unified data models and enabling AI-led operations across products. The team thrives on collaboration, innovation, and a commitment to delivering exceptional outcomes.

You'll be responsible for

🏗️

Leading the Data Foundation Architecture

Architect modern lakehouse and data-fabric patterns using Snowflake, Databricks, Palantir, and AWS native services, ensuring strong data management and governance aligned to platform standards.
🧠

Building the Enterprise Knowledge & Context Layer

Design semantic models, ontologies, and canonical entities used across domains, developing and maintaining knowledge graphs.
⚙️

Enabling AI, Agents & Intelligent Workflows

Integrate data and knowledge layers into AI orchestration, collaborating with AI engineering on LLM/SLM switchboards and supporting cross-module intelligent workflows.

Key criteria

🛠️

Deep practitioner experience with modern data platforms

Experience with Snowflake, Databricks, and data fabric patterns.

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📊

Hands-on technical expertise in data governance

Proven skills in metadata, lineage, and data quality systems.

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🌐

Strong architecture experience with knowledge graphs

Experience designing ontologies and semantic models.

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5 criteria for this job
Deep practitioner experience with modern data platforms
Experience with Snowflake, Databricks, and data fabric patterns.

View

Hands-on technical expertise in data governance
Proven skills in metadata, lineage, and data quality systems.

View

Strong architecture experience with knowledge graphs
Experience designing ontologies and semantic models.

View

Practical experience with vector search and embeddings
Experience in designing RAG pipelines and chunking strategies.

View

Excellent understanding of cloud-native services
Proficiency in AWS services like Redshift and Glue.

View

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