Назад
Company hidden
2 дня назад

Enterprise Architect (Data Architecture)

145 000 - 155 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Enterprise Architect (Data Architecture): Defining and evolving enterprise data architecture for a governed warehouse and lakehouse ecosystem with an accent on data trust, discoverability, quality, security, lineage, and regulatory confidence. Focus on designing scalable data platforms, establishing governance metrics and guardrails, and solving complex architecture risks across cloud, SaaS, and on-premises environments.

Location: Toronto, Canada; flexible hybrid work model. Eligibility to work for hirify.global Corp. in Canada in a full-time capacity is required.

Salary: CAD 145,000–155,000 annually, plus eligibility for a short-term incentive plan.

Company

hirify.global provides secure digital payments, identity verification, and fraud protection services that support Canada’s financial ecosystem.

What you will do

  • Define enterprise data architecture principles, target-state blueprints, and transition roadmaps for data warehouse and lakehouse capabilities.
  • Steward enterprise data architecture direction across data domains, canonical models, integration patterns, semantic standards, and reusable data products.
  • Establish measurable guardrails for data quality, metadata, lineage, ownership, access controls, retention, and standards compliance.
  • Identify and prioritize systemic data risks, including duplication, inconsistent definitions, poor quality, weak lineage, unclear ownership, and unmanaged sensitive data.
  • Lead architecture reviews and governance forums covering privacy, security, regulatory requirements, data residency, and resiliency.
  • Document and socialize reference architectures, modelling standards, ingestion patterns, lakehouse zones, warehouse marts, semantic layers, and data product lifecycle practices.

Requirements

  • Must be eligible to work in Canada for hirify.global Corp. in a full-time capacity.
  • 5+ years of experience in enterprise, data, information, and/or solution architecture within complex environments.
  • Experience operating in a federated architecture model and governing data domains, products, models, metadata, lineage, access controls, and ownership.
  • Practical experience with data warehouse and lakehouse patterns, including ingestion, transformation, curated layers, semantic modelling, data marts, open table formats, BI, analytics, and AI consumption.
  • Experience designing scalable, secure, and resilient data platforms across cloud, SaaS, and on-premises environments, including APIs, event-driven flows, streaming, batch processing, and governed data sharing.
  • Experience in financial services or another highly regulated industry, with strong decision-making, trade-off analysis, security, risk, and compliance knowledge.

Nice to have

  • TOGAF, CDMP, DAMA-DMBOK, AWS, Azure, or equivalent architecture, data management, or cloud certification.

Culture & Benefits

  • Flexible hybrid work model supporting work-life balance.
  • Generous vacation and wellness days.
  • Comprehensive employer-paid benefits and an employer-funded RRSP program.
  • 24/7 confidential employee and family assistance program.
  • Pregnancy and parental leave top-up.
  • Inclusive, purpose-driven environment focused on digital finance, innovation, and community impact.

Hiring process

  • Successful candidates must complete pre-employment background checks, which may include identity, criminal, credit, employment, education, and social media verification.
  • Accommodation is available during every stage of the application and recruitment process.

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 →