Назад
18 часов назад

Principal Enterprise Architect, Data and AI

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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.

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