Principal Data Architect

McCain Foods; Toronto; On-site; CAD 105,000 - 137,000; Full time

Job summary

An established industry player is seeking a Principal Data Architect to lead the enterprise data model development. This role is crucial in shaping the data strategy, ensuring data integrity, and integrating new technologies to enhance analytics capabilities. The successful candidate will collaborate with diverse teams to create robust data solutions that drive business value. Join this innovative firm and play a pivotal role in their digital transformation journey, leveraging your expertise to empower teams and enhance decision-making processes. If you are passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Health Coverage

Dental Insurance

Vision Insurance

Retirement Savings Benefits

Paid Leave

Volunteering Time

Mental Health Resources

Qualifications

• 10+ years of experience in data modeling and governance.
• Experience with cloud environments and data warehouse solutions.

Responsibilities

• Develop and maintain enterprise data architecture strategy.
• Design data models and implement data warehouses for AI projects.

Skills

Data Modeling

Data Governance

SQL

Cloud Data Warehouse Solutions

Data Visualization (Power BI)

Real-time Data Processing

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Tools

Azure Databricks

Power BI

Data Catalog Tools

Job description

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Position Title: Principal Data Architect

Position Type: Regular - Full-Time

Position Location: Toronto HQ

Requisition ID: 32918

At McCain, our Digital Technology team is dedicated to leveraging technology and data to drive profitable growth, enhance customer experience, and further our purpose of 'Celebrating real connections through delicious, planet-friendly food.' We have embarked on an ambitious digital transformation journey that spans our entire business, from Agriculture to Manufacturing, all with a focus on deepening our customer obsession.

As part of this transformation, we are making substantial investments in digital platforms, technology advancements, and fostering a data-driven culture. Our goal is to develop digital products that serve our customers, suppliers/growers, and McCain team members, enabling digital processes and data-driven automation. Through these investments, we aim to transform McCain into a company that empowers its teams with intuitive systems designed to enhance collaboration, productivity, and informed decision-making.

Are you ready to be part of this exciting journey? Join us and help shape the future of McCain through innovative technology solutions.

Leadership Principles.

Our principles, each with related practices, guide our actions across the organization. Together, they address how McCain interacts with our customers and employees, and how we work as individuals and collectively to find success. While each role adheres to the Leadership Principles, individual roles may focus more on a specific principle or principles.

• We are customer obsessed. Customers are our starting point. By understanding their needs and leveraging data and consumer insights, we drive mutual success.
• We think big and plan ahead. Through ambition, curiosity, and smart risks, we can accomplish goals, refine processes, and innovate to scale success.
• We bring out the best in our people. We create safe spaces for our people so that trust and empowerment come naturally. Inclusion is about listening first, showing humility, and working together.
• We act like owners. Together, we clear obstacles and do the work that makes us all successful and proud to be part of McCain.
  
  

Job Purpose

Reporting to the Director Global Data Platform, the Principal Data Architect will take a lead role in creating the enterprise data model for McCain Foods, bringing together data assets across all business functions. Working with a diverse team of data governance experts, data integration architects, data engineers, data architects, and our analytics team including data scientist, the Principal Data Architect will play a key role in creating a conceptual, logical and physical data model that underpins the Data AI & Analytics team’s activities.

Job Responsibilities

• Develop and maintain the enterprise data architecture strategy, aligning it with business goals.
• Design and implement data models, data warehouses, and data lakes to support AI and analytics projects.
• Collaborate with data scientists, engineers, and business stakeholders to ensure data solutions meet analytical requirements.
• Ensure data integrity, security, and governance across all data platforms.
• Evaluate and integrate new technologies and tools to enhance the data architecture.
• Provide technical leadership and mentorship to the data architect and data engineering team.
• Develop an understanding of McCain’s key data assets and work with data governance team to document key data sets in our enterprise data catalog.
• Develop Logical data model based on business model and align with business teams.
• Work with technical teams to build physical data model, data lineage and keep all relevant documentations.
• Primary point of contact for new Digital and IT programs, to ensure alignment to enterprise data model.
  
  

Measures Of Success

• Demonstrated history of driving change in a large, global organization
• A true passion for well-structured and well-governed data; you know and can explain to others the real business risk of too many mapping tables.
• Focus on use-case driven prioritization; comfortable driving business teams for opportunities that connect to value, and also able to challenge requirements that will not achieve the business’ goals.
• Developing data models that are not just elegant, but truly optimized for analytics, both advanced analytics use cases and dashboarding / BI tools.
• A coaching mindset wherever you go, including with the business, data engineers and other architects.
• An infectious enthusiasm for learning: about our business, deepening your technical knowledge and meeting our teams.
• Have a “get things done” attitude. Roll up the sleeves when necessary; work with and through others as needed.
  
  

Key Qualification & Experiences

• Data Design and Governance
• At least 10 years of experience with data modeling to support business processes.
• Ability to design complex data models to connect internal and external data.
• Ability profile the data for data quality requirements.
• Experience working with real-time data.
• Nice to have: experience with Data Catalog tools
• Ability to draft accurate documentation that supports the project management effort and coding.
  
  

• Technical skills
• At least 10 years of experience designing and working in Data Warehouse solutions building data models.
• Proven experience in visualization tools preferably Power BI or similar tools.
• At least 2 years designing and working in Cloud Data Warehouse solutions; preference for Azure Databricks.
• Experience in working in Azure cloud environment or similar cloud environment.
• Must have: Ability to develop queries in SQL for assessing, manipulating, and accessing data stored in relationship databases
• Ability to understand and work with unstructured data.
• Nice to have: Experience on working with Manufacturing /Digital Manufacturing.
• Nice to have: experience with machine learning model design
  

Key Competencies

• Drives Results, Collaboration, Customer focus.
  
  

The above information indicates the general nature and level of work performed by employees within this classification. It is not a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

Compensation Package: 105,000 - 137,000 CAD annually + bonus eligibility

The above reflects the target compensation range for the position at the time of posting. Hiring compensation will be determined based on experience, skill set, education/training, and other organizational needs.

Benefits: At McCain, we’re on a mission to create a winning culture that puts employee safety and wellbeing at the heart of what we do, every day. We understand and appreciate that each person’s needs are unique and ensure our benefits & wellbeing programs reflect that. Employees are eligible for the following benefits: health coverage (medical, dental, vision, prescription drug), retirement savings benefits, and leave support including medical, family and bereavement. Wellbeing programs include vacation and holidays, company-supported volunteering time, and mental health resources. Coverages are aligned to country, provincial and state governing plans and can vary by work level, location and nature of the role. Additional benefit details available during the application process.

Your well-being matters to us, and we’re here to provide you with the necessary resources to support you in being your best self at work — and at home.

McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace. As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to meet your needs.

Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Privacy Policy

Job Family: Information Technology

Division: Global Digital Technology

Department: Global Data Service and Platforms

Location(s): CA - Canada : Ontario : Toronto || CA - Canada : New Brunswick : Florenceville-Bristol

Company: McCain Foods (Canada)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Food and Beverage Manufacturing

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