Position Summary:
With team members and customers in 39 countries around the globe, HostPapa is currently one of the fastest-growing web hosting companies with a wide range of products available. At its core, we provide individuals and small and medium-sized businesses with access to valuable tools and services critical to their online success, including a Website Builder service for making website creation an ultra-easy task for anyone. Tailored to meet every user's unique needs, our award-winning customer support, email, and cloud-based solutions keep HostPapa at the cutting edge of the web hosting industry and innovation by putting our customers first.
This role focuses on CloudBlue, a HostPapa business that powers cloud commerce for many of the world’s largest service providers, including major Telcos, distributors, and MSPs. CloudBlue enables partners to monetize and manage cloud services and subscriptions at scale, combining the agility of a high-growth business with the backing of a global organization.
As the Principal Data Architect, you will define and drive the technical vision behind CloudBlue’s data and insights platform, shaping how data is structured, integrated, and leveraged to support financial growth, product adoption, and predictive capabilities. You will lead the design and evolution of data architecture, translating business and stakeholder requirements into scalable data models and AI-enabled solutions within a microservices-based, cloud-native SaaS environment.
You will work cross-functionally with product, engineering, and finance teams to solve complex data and machine learning challenges, helping build a modern, AI-driven platform that integrates APIs, relational and non-relational data sources, and intelligent workflows
What you’ll do
- Architect and design machine learning systems capable of processing millions of real-time data points, leveraging feature stores, real-time inference pipelines, and scalable model serving frameworks to ensure high performance and low latency
- Drive architectural decision-making for data and ML systems through RFC processes, ensuring solutions are scalable, statistically sound, and future-proof
- Contribute hands-on to data and ML challenges, including building data architectures and high-performance feature engineering pipelines
- Collaborate closely with DevOps teams to ensure ML infrastructure (Kubernetes, cloud platforms, GPU clusters) is optimized for training and inference workloads
- Define and evolve scalable data architectures that support advanced analytics, predictive modeling, and business growth
- Mentor and guide Senior Data Scientists and ML Engineers, fostering strong practices in statistical rigor, MLOps, and systems thinking
- Support other tasks or projects as assigned to meet team and business needs
About you
- Degree in a STEM field such as Computer Science, Engineering, or Applied Mathematics, or equivalent practical experience
- 5+ years of combined experience across Data Engineering, Data Architecture, and Data Science
- Proven experience designing and deploying large-scale, distributed data systems handling high transaction volumes
- Strong expertise in cloud environments such as AWS, GCP, or Azure, and modern data platforms such as Snowflake, Databricks, or BigQuery
- Solid understanding of data modeling principles, including relational, dimensional, and NoSQL approaches
- Experience building and orchestrating data pipelines using tools such as Airflow, dbt, Spark, or Kafka
- Knowledge of data governance, security, and compliance best practices
- Advanced proficiency in Python and SQL, with experience using data science libraries such as pandas, NumPy, and scikit-learn
- Proven track record of building, training, and deploying machine learning models to solve real-world business problems
- Experience applying MLOps principles to move models from experimentation to production-ready systems
- Experience developing billing and rating systems for AI-driven or consumption-based models would be considered an advantage
- Hands-on experience integrating AI services or building advanced AI solutions such as RAG pipelines or API-based AI workflows would be considered an advantage
What We Offer:
- Work from anywhere - this is a remote opportunity with a primary focus on candidates based in the EU due to team needs and coverage
- A competitive salary that values you and your unique skill sets
- Career advancement & professional development opportunities to help you reach your full potential
- Flexible work arrangements to support work/life balance
About Us:
At HostPapa, we’ve been committed to providing a complete array of enterprise-grade cloud services solutions to every business owner since 2006. These services, traditionally out of reach to smaller businesses, are offered in a one-stop shop, making it quick and easy for customers to select the services they need to grow. We back these offerings with 24/7 award‑winning customer support in four languages.
Our HostPapa team values diversity and inclusion. We have a friendly company culture built on trust and respect. With the acquisition of several companies into our product portfolio, we’re growing at an incredible rate and have ample opportunities for career growth.
Come join our talented team of enthusiastic, hard-working, passionate, driven people engaged in meaningful, innovative work. We can’t wait to meet you!
HostPapa is an equal-opportunity employer committed to diversity and inclusion. As a multicultural organization, we encourage individual achievement and recognize the strength of our diverse team.
HostPapa is committed to providing accommodations for people with disabilities. If you require accommodation, please let us know, and we will work with you to meet your needs. Accommodation may be provided in all parts ofthe hiring process.
It is anticipated that this position will be performed outside of Ontario.
Originally posted on Himalayas