Principal Enterprise Architect, Data and AI (FSI)

About the role

Snowflake is hiring a Principal Enterprise Architect, Data and AI for its Applied Field Engineering (Field CTO) team, focused on the Financial Services Industry across Australia. The role sits between Snowflake's strategic FSI customers and its product and engineering teams, helping banks, insurers and capital markets firms adopt the AI Data Cloud. Success is measured by the architecture decisions influenced and the industry outcomes unlocked.

Key responsibilities

• Act as senior technical authority and trusted advisor to CxO and chief-architect stakeholders at Australia's largest financial institutions, turning 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, based on the Snowflake platform including Cortex AI and Snowpark.
• Lead high-stakes architectural engagements end to end, from discovery to a defensible target-state design that balances governance, data residency and regulatory requirements.
• Influence the Snowflake product roadmap by feeding 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 complex technical decisions and accelerate platform consumption.
• Set the technical bar for the Field CTO practice, mentoring architects and solution engineers and codifying reusable patterns.
• Represent Snowflake as a thought leader at executive briefings, industry forums and regulatory working groups in the Australian FSI market.

Required profile

• 10+ years of experience in data architecture, cloud data platforms or enterprise architecture, with deep exposure to financial services.
• Proven company-wide or industry-wide technical influence, shaping architecture decisions at senior stakeholder levels.
• Fluency in the FSI regulatory and risk landscape, including data governance, residency, privacy and operational resilience for Australian financial institutions.
• Excellent communication and influencing skills with executive and technical audiences.
• Experience leading technical discovery and solutioning personally, not only orchestrating specialists.

Required skills

• Deep understanding of data platform, analytics and AI and machine learning architecture, including generative AI and retrieval-augmented workflows.
• Bonus: hands-on experience with Snowflake or comparable cloud data platforms (AWS, Azure, GCP).
• Bonus: experience with generative AI and large language model applications in a regulated environment.
• Bonus: familiarity with the Australian FSI partner, SI and GSI ecosystem, and prior experience in a Field CTO, office of the CTO or principal customer-facing architect role.