Full-Time Data Architect

About the CompanyMilk Moovement is building a world-class team focused on getting the right milk to the right place at the right time. Our growing herd of employees is driven to provide our clients with the data they need to make critical decisions that impact their operations and ultimately your favourite dairy products. We are a young VC-backed company with massive ambitions to disrupt the dairy supply chain. We think differently, act nimbly, and always leave things better than we found them. We're expanding our team to further our mission. Find us on Twitter, Instagram, LinkedIn (@milkmoovement), and our home page to learn more. We will only be considering Canadian applicants at this time.

The RoleWe’re hiring a Data Architect to join our team! Milk Moovement is a data analytics platform for modern dairy supply chains. Well-structured data is integral to our mission of revolutionizing the dairy supply chain. As the Data Architect, you will oversee the continued evolution of our data platform, including the data warehouse, transformation pipelines, visualization tools, and supporting cloud infrastructure. This role connects feature engineering, business analytics/reporting, and AI/ML.

What You’ll Be Doing

• Develop and maintain data architectures to support internal and external customer analytics as well as AI/ML workloads
• Supervise business analytics and reporting efforts
• Participate in design sessions with logistics and financial feature teams to ensure data models are scalable and extensible
• Collaborate with the team to enable AI feature engineering, model training, and deployment at scale
• Provide mentorship to ensure alignment with data engineer best practices

What We Are Looking For

Milk Moovement seeks a diverse, inclusive, team-oriented, and curiosity-driven team. Our technical team finds unique solutions to digital supply chain challenges. You must have at least 5 years prior experience with data engineering.

What Else

• Proven track record of deploying large-scale data platforms, with specific experience in Snowflake
• Familiarity with dbt for data transformation and Dagster (or other tools) for pipeline orchestration
• Solid fundamentals in data warehousing concepts and transformation design patterns
• Hands-on experience building cloud native data solutions in AWS
• Proficiency in SQL and Python
• Experience using Terraform to build data infrastructure, deployed via CI/CD pipelines
• Ability to collaborate, prioritize, and deliver value in a dynamic workplace

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