В Snowflake это четко очерченная руководящая экспертная роль с влиянием на крупные финансовые организации и развитие продукта, но она требует глубокой отраслевой экспертизы и постоянной работы с ключевыми заказчиками.
Кликните для подробной информации
Влияние на решенияФокус на ИИСовременные технологииЧеткие задачи
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Enterprise Architect, Data and AI (Financial Services/Data and AI): Shaping data and AI architecture for Australian banks, insurers, and capital markets firms with an accent on governance, data residency, regulatory requirements, and generative AI. Focus on leading high-stakes architecture engagements, influencing product roadmaps, and advising executive stakeholders on Snowflake, Cortex AI, and Snowpark adoption.
Location: Hybrid, AU-Sydney, Australia
Company
Snowflake provides the AI Data Cloud and develops data, analytics, and AI capabilities for enterprise customers.
What you will do
Advise CxO and chief-architect stakeholders at major Australian financial institutions on durable data and AI architecture.
Define reference architectures and modernization roadmaps for risk, fraud, regulatory reporting, customer 360, and generative AI workloads using Snowflake, Cortex AI, and Snowpark.
Lead architectural engagements from discovery through defensible target-state designs balancing governance, data residency, and regulatory requirements.
Channel field insight and Australian financial-services regulatory needs to Snowflake product and engineering teams.
Partner with account teams, solution engineers, and SI/GSI partners to resolve complex technical decisions and accelerate platform adoption.
Mentor architects and solution engineers, codify reusable patterns, and represent Snowflake at executive briefings, industry forums, and regulatory working groups.
Requirements
10+ years of experience in data architecture, cloud data platforms, or enterprise architecture, with deep exposure to financial services.
Company-wide or industry-wide technical influence, including shaping architecture decisions with senior stakeholders.
Deep understanding of data-platform, analytics, AI, and machine-learning architecture, including modern generative AI and retrieval-augmented workflows.
Fluency in the Australian financial-services regulatory and risk landscape, including data governance, residency, privacy, and operational resilience expectations.
Ability to personally lead technical discovery and solutioning rather than only orchestrating specialists.
Excellent communication and influencing skills with executive and technical audiences, or equivalent experience.
Nice to have
Hands-on experience with Snowflake or comparable cloud data platforms on AWS, Azure, or GCP.
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.
Experience in the Telecommunications sector.
Culture & Benefits
AI-native, experimental working approach focused on testing emerging capabilities and improving how work gets done.
Low-ego environment for challenging ordinary thinking and moving quickly.
Opportunity to influence the future of enterprise data and AI architecture and contribute to Snowflake's growth.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →