Kraft Heinz

Senior Data Architect

Kraft Heinz

full-time

Posted on:

Location Type: Office

Location: Toronto • 🇨🇦 Canada

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Salary

💰 CA$100,300 - CA$125,400 per year

Job Level

Senior

Tech Stack

Amazon RedshiftBigQueryCloudPandasPythonSQLTableau

About the role

  • Implement the data management framework at Kraft Heinz, ensuring data is organized, structured, easily accessible, secure, and aligned with strategic goals
  • Work cross-functionally with Product Owners, Business Stewards, Business Intelligence Engineers, Data Stewards, Data Scientists and end users to understand data consumers’ needs and solution requirements
  • Interact & influence business stakeholders to secure strong engagement and align data & analytical product delivery with strategic roadmaps
  • Design & contribute to the structure and layout of data lake house architecture, optimizing data storage, and establishing data access controls and security measures
  • Explore data sources by working with application owners to confirm datasets to be extracted
  • Contribute to establishing and implementing database structure, including schema design, table definitions, column specifications, and naming conventions
  • 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)
  • Simplify existing data architecture, delivering reusable services and cost-saving opportunities in line with company policies and standards
  • Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within the Data Architecture discipline
  • Design and develop data products / data solutions within the commercial function supporting core sales datasets and downstream use cases leveraging internal and external data sources

Requirements

  • 5+ years of experience in the design and implementation of scalable, high-performance, and reusable data models for enterprise-scale data warehousing
  • Experience translating business requirements into technical solution design & data architecture
  • Ability to navigate and collaborate with cross-functional teams involving data engineers, data scientists, business analysts, and stakeholders
  • Strong business process and functional understanding with an analytical background
  • Knowledge of Agile methodologies and experience working on tools such as Jira & Confluence
  • Proficient in the design and implementation of modern, cloud-based data analytics architectures
  • Expert-level SQL skills
  • Experience building enterprise data models (Logical, Physical, Conceptual ERD); data modeling tool experience a plus (ERWIN, ER/STUDIO, etc.)
  • Expertise in Snowflake or related cloud-based data warehousing tools (Databricks, Redshift, BigQuery, etc.)
  • Experience with enterprise-scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, great expectations, etc.)
  • Proficient with business intelligence tools and technologies such as Power BI & Tableau
Benefits
  • Holistic wellness benefits* and perks
  • DCPP
  • VRSP
  • TFSA
  • Business Resource Groups (BRGs) to foster diversity, inclusion and belonging
  • Industry-leading total rewards package emphasizing a high discretionary bonus
  • Benefits begin immediately upon hire
  • Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future
  • Wellbeing events, resources, and learning opportunities
  • 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
  • Performance-based bonus (eligible)

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data management frameworkdata architecturedata modelingSQLcloud-based data analyticsdata warehousingdata engineeringdata lake house architecturedata access controlsdata quality
Soft skills
cross-functional collaborationstakeholder engagementanalytical skillsbusiness process understandinginfluencedocumentationpeer reviewproblem-solvingcommunicationorganizational skills
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