Director, Data Engineering & Modeling - Mars Veterinary Health

Director, Data Engineering & Modeling - Mars Veterinary Health

Support Office - Vancouver, Full time

$ - $

As part of the Mars Petcare family of businesses, Mars Veterinary Health is a global network of veterinary practices made possible by 75,000 Associates who care for millions of pets across nearly 3,000 clinics in more than 20 countries each year. We are committed to leveraging our reach to make a long-term positive impact on people, pets, and the planet and know our Purpose – A BETTER WORLD FOR PETS – starts with the people who care for them.

We strive to offer unparalleled veterinary care for pets by first and foremost enabling and empowering our Associates to do what they love, whether in primary, specialty, and emergency care or management and leadership.

The Data Engineering & Modeling Director leads enterprise data engineering, modeling, and data product development capabilities. Responsible for delivering scalable, reusable, and governed data assets that support operational, analytical, and AI use cases.

• Live and exemplify the Five Principles of Mars, Inc. within self and team.
• Key Responsibilities
• Define enterprise data engineering standards and practices.
• Lead development of data products, pipelines, and semantic models.
• Establish enterprise data modeling standards.
• Oversee data integration and transformation frameworks.
• Drive engineering quality, automation, and performance optimization.
• Support data democratization and self-service analytics.

• Establish enterprise data product operating model.
• Define engineering standards and development lifecycle practices.
• Lead development of reusable and scalable data assets.
• Implement Data Ops and CI/CD practices.

• Establish conceptual, logical, and physical data modeling standards.
• Govern semantic layer and business data model design.
• Support master data and domain-driven architecture initiatives.
• Ensure interoperability across data domains.

• Lead migration from legacy data platforms.
• Improve pipeline performance, reliability, and maintainability.
• Reduce technical debt and improve engineering efficiency.
• Drive adoption of modern data stack technologies.

• Mentor engineering managers and senior engineers.
• Establish engineering career frameworks and technical communities.
• Other job duties as assigned.

• 10+ years in data engineering or data architecture.
• 5+ years leading engineering teams.
• Experience building enterprise data products.
• Experience with large-scale cloud data platforms.
• Experience implementing Data Ops and agile delivery practices.

$140,400 - $241,313

Compensation is determined based on education, experience, and other relevant credentials. Our salary ranges are determined by role, level, location, and market competitiveness.

• Competitive salary with paid time off & holidays so you can spend time with the people you love.
• Medical, dental, and vision insurance for you and your loved ones.
• Fertility and family-building assistance.
• Paid Parental leave.
• Practice Paid Basic Life Insurance.
• Practice Paid Short- and Long-Term Disability.
• Automatic enrollment 401(k) Savings Plan after 60 days of employment with generous company match.
• Commuter Benefits.
• Legal Plan.
• Health Savings Account & Flexible Spending Account.
• Mental health support and resources.
• Paid Volunteering.
• Optimum Wellness Plans for up to three pets.
• Continuing Education allowance & MED hours for eligible positions.
• Student Debt Relief (for full-time DVMs).
• A…