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11 часов назад

Senior Data Architect

96 200 - 120 200CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
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
Senior Data Architect (Data Architecture): Designing and implementing scalable data products, source and master data models, and semantic models for Global Operations with an accent on data warehousing, BI, AI, and decision intelligence use cases. Focus on translating business requirements into technical solutions, integrating diverse internal and external data sources, and improving data quality through governance and architectural standards.

Location: Toronto, ON — Queen's Quay Headquarters; hybrid, 3 days per week

Salary: CAD 96,200–120,200 per year, plus eligibility for a performance-based bonus

Company

hirify.global is a large consumer packaged goods company with a global operations function and enterprise data architecture organization.

What you will do

  • Design and develop domain-specific data products and data solutions for analytical and decision intelligence use cases.
  • Create source data, master data, and semantic models, including schemas, table definitions, column specifications, and conceptual, logical, and physical ERDs.
  • Translate business requirements into scalable technical solutions in collaboration with product owners, data stewards, BI engineers, data scientists, application owners, and end users.
  • Support data engineering and BI engineering teams during implementation, review model development, and approve deployments.
  • Document data architecture artifacts and contribute to architecture standards, guidelines, best practices, and peer reviews.
  • Improve data quality and model reliability through collaboration with governance and data stewardship functions.

Requirements

  • Bachelor’s degree in computer science, data science, engineering, or a related field.
  • At least 5 years of experience designing and implementing scalable, high-performance, reusable data models.
  • Strong background in data warehouse implementation and data modeling tools such as ERWIN or ER/Studio.
  • Experience with data engineering orchestration frameworks, ELT tools, and Python libraries including dbt, pandas, and Great Expectations.
  • Experience designing semantic models for BI and AI requirements and translating business needs into data architecture and data product designs.
  • Experience collaborating with cross-functional teams and working with Agile tools such as Jira and Confluence.

Nice to have

  • Certifications in data management, data modeling, or cloud services.
  • Consumer packaged goods experience and knowledge of domain-specific concepts.

Culture & Benefits

  • Flexible work arrangements within the hybrid role structure.
  • Healthcare coverage options including medical, prescription drug, dental, and vision care.
  • Paid time off, company holidays, leave programs, and training opportunities.
  • Pension and savings programs, life and disability insurance, and employee discounts.
  • Wellbeing, family support, employee assistance, and learning programs.

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