Senior Data Architect

The Kraft Heinz Company
Toronto
Workplace: HybridFull time96,200 - 120,200Function: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Collaboration","Peer review","Documentation","Cross-functional communication","Requirement translation"]

Implement and maintain domain-specific data architecture, ensuring data assets are structured, organized, and secured. Partner with product owners, business stewards, BI engineers, data scientists, and end users to develop data products and solutions, including feasibility translation and semantic model design for BI, AI, and conversational analytics. Lead data model design/validation, support build phases with engineering teams, and document/peer-review architecture artifacts while improving data quality through governance.

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The Kraft Heinz Company
The Kraft Heinz Company
4 days ago

Senior Data Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Implement and maintain domain-specific data architecture, ensuring data assets are structured, organized, and secured. Partner with product owners, business stewards, BI engineers, data scientists, and end users to develop data products and solutions, including feasibility translation and semantic model design for BI, AI, and conversational analytics. Lead data model design/validation, support build phases with engineering teams, and document/peer-review architecture artifacts while improving data quality through governance.
Location: Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work with product owners, business stewards, BI engineers, data scientists, and end users to understand data consumers’ needs and develop domain data products/solutions.
  • •Assess feasibility requirements and translate business requirements into data architecture designs.
  • •Design data models for source and master data products, including schema design and table/column definitions.
  • •Design and implement semantic models to support BI reporting, AI applications, and conversational analytics use cases.
  • •Review and validate data model development, provide deployment approval, and document/peer-review architecture artifacts across functions.

Pay and Benefits

Salary: 96,200 - 120,200
Perks:Health InsuranceDentalVisionPaid LeavePensionLife InsuranceDisability

Key Requirements

  • •Bachelor’s degree in computer science, data science, engineering, or related field.
  • •At least 5 years of relevant experience designing and implementing scalable, high-performance, reusable data models for actionable insights.
  • •Strong background in data warehouse implementation and designing logical/physical/conceptual ERD data models using tools such as ERWIN or ER/STUDIO.
  • •Experience translating business requirements into technical solutions for data architecture and data product design.
  • •Enterprise-scale data engineering orchestration/ELT frameworks experience and Python libraries such as dbt, pandas, and great expectations.
Experience:5+ yearsData engineeringData warehousingBusiness intelligenceAICPG
Education:Bachelor's
Skills:CollaborationPeer reviewDocumentationCross-functional communicationRequirement translation
Tech Stack:DbtPandasGreat expectationsERWINER/STUDIOJiraConfluence

Company Brief

The Kraft Heinz Company
The Kraft Heinz Company is a global food and beverage company producing iconic packaged foods and condiments across categories like cheese, meals, condiments, and beverages, serving retail, foodservice, and consumer markets worldwide.
Industry: Food & Beverage
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Chicago, United States
Founded: 2015
WebsiteLinkedIn