Principal Enterprise Architect, Data and AI (FSI), Applied Field Engineering
Snowflake · AU-Sydney
Big Tech AIremoteprincipal
At a glance
Highlights
- Shape how Australia's largest banks and insurers adopt modern data and AI.
- Define modernization roadmaps for risk, fraud, reporting and GenAI workloads.
- Influence product roadmap by channeling FSI regulatory needs to engineering.
Ideal candidate
AI-native, low-ego architect energized by reinventing FSI through data and AI. You thrive advising CxOs and shaping industry outcomes in fast-moving, regulated environments.
Requirements
- 10+ years in data architecture, cloud data platforms, or enterprise architecture with financial services exposure
- Track record shaping architecture decisions with senior stakeholders company-wide or industry-wide
- Deep understanding of data platform, analytics, and AI/ML architecture including generative AI and RAG workflows
- Fluency in FSI regulatory landscape including governance, residency, privacy and operational resilience in Australia
- Proven ability to personally lead technical discovery and solutioning
- Excellent communication and influencing skills with executive and technical audiences
Lab profile
About Snowflake
Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.
What they build
- Snowflake Data Cloud
- Data warehousing and data lakes
- Snowpark developer framework
Known for
- Elastic scalable cloud architecture
- Secure governance and data sharing
- Multi-cloud analytics and AI
Key facts
- Founded in 2012
- Headquartered in Bozeman, Montana
- Public company (NYSE: SNOW)
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