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Data Architect (Remote)

ABOUT THE COMPANY

Milk 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. 


Who is Milk Moovement you might ask? We are a young VC-backed company with humble roots and 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 out on Twitter, Instagram, LinkedIn (@milkmoovement), and our home page to learn more or hit “apply” below!



We will only be considering Canadian applicants at this time


THE ROLE 

We’re hiring a Data Architect to join our team! Milk Moovement is a data analytics platform for modern dairy supply chains. Having well structured data for reporting, advanced analytics, and data science 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 sits at the intersection of feature engineering, business analytics/reporting, and AI/ML, connecting the dots between foundational data architecture and advanced analytical and machine learning applications. If you are passionate about this convergence and ready to make an impact, we want to hear from you!


WHAT YOU’LL BE DOING

•Develop new and maintain existing data architectures to support internal and external customer analytics as well as AI/ML workloads

•Supervise business analytics and reporting efforts both internally and for our external cooperative customers

•Participate in design sessions with our logistics and financial feature teams to ensure data models for new products are scalable and extensible

•Collaborate with the broader 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 to have a diverse, inclusive, team-oriented, and curiosity-driven herd. Our technical team lives to find unique solutions to the challenges inherent to digital supply chains, and we expect you will be excited to do so as well. You must have at least 5 years prior experience with data engineering, but experience working in the dairy industry is not required! We will teach you all there is to know about the industry beginning with our Dairy 101 course. It is definitely more complicated than you think and that is why we do what we do! 


WHAT ELSE 


REQUIRED

•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 (real time, batch, event-driven workflows)

•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


PREFERRED

•Background in MLOps and productionizing AI/ML models. Experience with implementing ML models in Snowflake is considered a bonus

•Exposure to common ML Frameworks (TensorFlow, MLlib, PyTorch, or Scikit-learn)

•Experience using container-based services (Docker, ECS, Kubernetes) 

•Experience building real-time transformation systems (Flink, Kafka Streams)

•Experience designing and building data pipelines that integrate and process data from both document-oriented NoSQL and relational SQL databases.


WHAT WE OFFER

🐮 Competitive salaries - we’re constantly reevaluating market trends to ensure we meet or exceed industry standards.

🐮 Equity - Stock option plan on a standard 4 year vesting schedule with a 1 year cliff.

🐮 Unlimited paid vacation and flex time - unlimited vacation can be vague and difficult to track; we strongly encourage everyone to take at least 2 weeks off per year plus public holidays. The rest is up to you.

🐮 Health (mental & physical), dental, & HSA coverage across North America.

🐮 Remote work environment - work from home or from one of our hubs in Halifax and St. John’s.

🐮 Flexible hours - night owl or early riser? No problem.

🐮 Tools - need the latest and great software to perform more efficiently? Ask and you shall receive.

🐮 Quarterly culture events - trivia, robot building, hackathons, etc. We like to keep it fresh and exciting.


ABOUT OUR CULTURE

🥛 We’ll drop everything to ensure our customers feel supported.

🥛 Transparency is ingrained in everything we do.

🥛 Respect is paramount.

🥛 We win and lose as a herd - lessons learned are equally as important as the wins.

🥛 We’re all in this together - our company wide thirst for knowledge is unquenchable.

🥛 Want to learn a bit more about what makes us moo-nique? Check out our About Us page for company mission, purpose, and values.

🥛 Did we mention we love puns?!


HOW TO APPLY 

To apply, please submit your resume through our Careers page. Don't forget to complete our Get To Know The Candidate form; we love hearing what your favourite dairy products are!


We always conduct remote interviews to ensure accessibility. This role offers flexibility based on your location and work preferences, and we'll collaborate closely with you because we recognize that each individual has unique circumstances.


Don't meet every single requirement? Studies have shown that women and individuals from diverse backgrounds may hesitate to apply for positions unless they meet nearly every qualification. At Milk Moovement, we are deeply committed to enhancing our approach to creating a diverse, inclusive, and value driven workplace. If you’re excited about this role but your past experiences don’t align perfectly with our job description, we  encourage you to apply anyway. You may well  be the right candidate for this role or others!


Milk Moovement is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Milk Moovement is committed to providing reasonable accommodations for individuals with disabilities during the application and interview process. If you require an accommodation, please notify your Recruiter.

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CEO of Milk Moovement
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Robert Forsythe
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What You Should Know About Data Architect (Remote), Milk Moovement

At Milk Moovement, we're on a mission to revolutionize the dairy supply chain, and we're on the lookout for a Data Architect to join our dynamic, remote team based in Toronto, Ontario. As a key player in our collaborative environment, you will be instrumental in shaping and evolving our data platform, which is essential for delivering advanced analytics and data-driven decisions for our clients. With over five years of experience in data engineering under your belt, you'll develop innovative data architectures that serve both internal stakeholders and external customers. This role is all about connecting complex data structures with impactful AI and machine learning applications that drive our company forward. We want someone who thrives at the intersection of creativity and technical expertise and who's eager to expand their knowledge of the dairy industry with us. You will supervise reporting efforts, collaborate in design sessions, and mentor colleagues in best practices to ensure our data models can grow and adapt seamlessly. If you're ready to leave your mark on an industry that’s more intricate than it seems, we can’t wait to hear from you!

Frequently Asked Questions (FAQs) for Data Architect (Remote) Role at Milk Moovement
What are the key responsibilities of a Data Architect at Milk Moovement?

As a Data Architect at Milk Moovement, your main responsibilities will include developing and maintaining data architectures tailored to support both internal analytics and AI/ML workloads for our clients. You will also supervise business analytics efforts and work closely with various teams to ensure scalable data models for new products.

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What qualifications are required for the Data Architect position at Milk Moovement?

To qualify for the Data Architect role at Milk Moovement, candidates should have at least five years of experience in data engineering, a proven track record with large-scale data platforms like Snowflake, and proficiency in SQL and Python. Familiarity with tools like dbt and Dagster for data transformation and pipeline orchestration is also necessary.

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What tools and technologies do Data Architects at Milk Moovement use?

Data Architects at Milk Moovement utilize a variety of tools and technologies, including Snowflake for data warehousing, Terraform for infrastructure automation, and AWS for cloud-native solutions. Experience with machine learning frameworks such as TensorFlow and container-based services like Docker is considered a bonus.

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Is industry experience required for the Data Architect role at Milk Moovement?

While industry-specific experience in dairy is not required for the Data Architect position at Milk Moovement, candidates should be eager to learn. We provide comprehensive onboarding, including a 'Dairy 101' course, to ensure you understand the industry complexities.

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What is the company culture like at Milk Moovement for Data Architects?

At Milk Moovement, our culture is centered around teamwork, transparency, and respect. As a Data Architect, you'll work in a diverse and inclusive environment where we prioritize collaboration, share knowledge, and celebrate successes together. We encourage our team to take personal ownership of their growth and engagement.

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Common Interview Questions for Data Architect (Remote)
Can you explain your experience with building data architectures?

When answering this question, emphasize your prior experiences where you successfully designed and implemented data architectures. Discuss specific platforms or tools you used, like Snowflake, and how your work contributed to broader business analytics efforts.

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How do you approach data transformation tasks?

Discuss your proficiency with data transformation tools such as dbt and highlight any strategies you employ to ensure efficiency and accuracy when handling data. Provide an example of a project where your transformation efforts improved the analytics process.

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What methods do you use to ensure data quality and integrity?

It's essential to outline steps you take to maintain data quality, including validation techniques, cleansing processes, and monitoring tools you leverage. Share a specific instance where your efforts directly impacted data accuracy for decision-making.

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Can you share an example of a successful collaboration with cross-functional teams?

Use examples that showcase your communication and collaboration skills. Talk about a project where you worked with teams like logistics or finance, detailing how you devised data models that supported their needs.

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What experience do you have with machine learning in data architecture?

Discuss any specific projects where you integrated machine learning models into your architectures. Mention your familiarity with common ML frameworks and how you ensure these models are production-ready and scalable.

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How do you prioritize multiple data projects in a dynamic work environment?

Share your strategies for managing priorities and deadlines, such as utilizing project management tools or specific methodologies (like Agile). Illustrate this with a real-world example of how you successfully juggled multiple projects.

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What challenges have you faced in building cloud-native data solutions?

Identify specific challenges you encountered and how you overcame them. This could include dealing with security issues, performance bottlenecks, or integration problems within AWS or other cloud platforms.

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How do you mentor junior data engineers?

Explain your mentorship philosophy, including practices you institute to support the professional growth of junior engineers. Share anecdotes that reflect your ability to cultivate a collaborative learning environment.

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What do you think sets a successful Data Architect apart?

Discuss the balance between technical skills and soft skills. Insights on adaptability, problem-solving abilities, and effective communication within teams can set you apart in this role.

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Why do you want to work at Milk Moovement as a Data Architect?

Align your answer with Milk Moovement's mission and culture. Talk about your excitement for innovation in the dairy supply chain and how your skills can contribute to a company that values inclusivity and continuous learning.

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To provide clients with actionable intelligence to make informed decisions across their dairy supply chains and to build a kick-ass company that fosters diverse, exceptional talent.

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Full-time, remote
DATE POSTED
January 12, 2025

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