Senior Data Architect at a glance...

3 days/week

This position implements and maintains domain specific data architecture at Kraft Heinz, ensuring assigned data assets are properly organized, structured, and secured. Collaborate with teams to support seamless data accessibility while adhering to functional domain objectives.

Works with Product owners, Business stewards, Business Intelligence Engineers, Data Scientists and end users to understand data consumers’ needs and develop data products/ data solutions within assigned domain.

Partners with application owners to analyze and evaluate data sources, ensuring alignment with architectural standards and extraction requirements.

Designs Data models for Source data products and Master data products including schema design, table definitions, and column specifications.

Designs and implements semantic models following established standards, supporting BI reporting, AI applications, and conversational analytics use cases.

Support Data Engineering and BI Engineering teams during the build phase

Review Data models development, validate and provide deployment approval.

Document Data Architecture artifacts for different Data Products and solutions and perform peer review across various functions.

Work closely with data stewards and governance functions to continuously improve data quality and enhance the reliability of data model(s).

Participate in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums

Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within Data Architecture chapter.

Design and develop data products / data solutions within the Global Operations function supporting analytical and decision intelligence use cases that leverage a large variety of data sources from internal and external systems

Bachelor’s degree in computer science,



data science, engineering, or related field

Certifications in Data Management, Data Modelling and Cloud services is preferred

At least 5 years of relevant experience in design and implementation of scalable, high-performance, and reusable data models that help in generating actionable insights.

Strong background in data warehouse implementation.

Experience in designing data models (Logical, Physical, Conceptual ERD) using data modeling tools (ERWIN, ER/STUDIO, etc.).

Demonstrated ability to translate business requirements into technical solutions driving data architecture and Data Product design.

Experience with enterprise-scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, excellent expectations, etc.).

Experience in designing semantic models for BI/AI data requirements

Knowledge of Agile methodologies with experience working on tools such as Jira & Confluence.

Ability to navigate and collaborate with cross-functional teams involving data scientists, business analysts, and stakeholders

Bonus

This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.

The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors

Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments

Social - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training

Emotional – Employee Family Assistance Program, Wellbeing Programs, Family Support Programs

Financial -Savings/Pension, Life, Accidental Death & Dismemberment, Disability, Discounted Perks

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.

📌 Senior Data Science Engineer (Toronto)
🏢 Kraft Heinz
📍 Toronto