Principal Enterprise Architect, Data and AI (FSI), Applied Field Engineering
Snowflake is hiring a Principal Enterprise Architect, Data and AI (FSI), Applied Field Engineering for a remote role open to applicants in Australia. Level rates it ; you can apply on Snowflake.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- Level classes it as a lead role.
- Snowflake has 356 other open roles on Level.
- Posted in the last few days.
AI in this role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Principal Enterprise Architect, Data and AI for our Applied Field Engineering (Field CTO) team, focused on the Financial Services Industry across Australia. This role sits at the intersection of Snowflake's most strategic FSI customers and our product and engineering organizations, shaping how banks, insurers, and capital markets firms adopt the AI Data Cloud. Success here is measured not by artifacts produced, but by the architecture decisions you influence and the industry outcomes you unlock.
AS A PRINCIPAL ENTERPRISE ARCHITECT AT SNOWFLAKE, YOU WILL:
Serve as the senior technical authority and trusted advisor to CxO and chief-architect stakeholders at Australia's largest financial institutions, translating business strategy into durable data and AI architecture.
Define reference architectures and modernization roadmaps for FSI workloads such as risk, fraud, regulatory reporting, customer 360, and generative AI, grounded in the Snowflake platform including Cortex AI and Snowpark.
Lead high-stakes architectural engagements end to end, from discovery through to a defensible target-state design that balances governance, data residency, and regulatory requirements.
Influence the Snowflake product roadmap by channeling field insight and FSI regulatory needs back to product and engineering teams.
Partner with account teams, solution engineers, and SI and GSI partners to unblock the most complex technical decisions and accelerate platform consumption.
Set the technical bar for the Field CTO practice in the region, mentoring architects and solution engineers and codifying reusable patterns.
Represent Snowflake as a thought leader at executive briefings, industry forums, and regulatory working groups across the Australian FSI market.
OUR IDEAL PRINCIPAL ENTERPRISE ARCHITECT WILL HAVE:
10+ years of experience in data architecture, cloud data platforms, or enterprise architecture, with deep exposure to financial services.
A track record of company-wide or industry-wide technical influence, shaping architecture decisions at the most senior stakeholder levels.
Deep understanding of data platform, analytics, and AI and machine learning architecture, including modern approaches to generative AI and retrieval-augmented workflows.
Fluency in the FSI regulatory and risk landscape, including data governance, residency, privacy, and operational resilience expectations relevant to Australian financial institutions.
While the role primarily focuses on Financial Services Industry (FSI), experience in the Telecommunications sector is highly desirable.
Proven ability to personally lead technical discovery and solutioning, not only to orchestrate specialists.
Excellent communication and influencing skills with executive and technical audiences, or equivalent experience.
BONUS POINTS FOR THE FOLLOWING:
Hands-on experience with Snowflake, or comparable cloud data platforms across AWS, Azure, or GCP, as a supporting capability.
Experience building or advising on generative AI and large language model applications in a regulated environment.
Familiarity with the Australian FSI partner, SI, and GSI ecosystem.
Prior experience in a Field CTO, office of the CTO, or principal customer-facing architect capacity.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
How we rate this
Principal Enterprise Architect, Data and AI (FSI), Applied Field Engineering at Snowflake rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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