Principal Data Architect

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🕒 May 21

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HostPapa

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

☁️ SaaS

🌐 Web 3

🛍️ eCommerce

SaaS • Web 3 • eCommerce

HostPapa is a web hosting company that provides a variety of hosting solutions including shared web hosting, WordPress hosting, VPS hosting, and reseller hosting. They also offer additional services such as domain registration, website building tools, business email services, and security features like SSL certificates. HostPapa prides itself on its 24/7 award-winning customer support available globally, ensuring that customers receive assistance in their preferred language and timezone. With a focus on small businesses, HostPapa aims to empower customers to achieve their online goals with reliable and high-performance hosting services.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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