Data & Analytics - Dynamic Reporting Dashboard - ON-1144

Genre de projet: Innovation
Discipline(s) souhaitée(s): Génie - informatique / électrique, Génie, Informatique, Sciences mathématiques
Entreprise: eXalt Solutions
Durée du projet: 4 à 6 mois
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Toronto, ON, Canada
Nombre de postes: 1
Niveau de scolarité désiré: Maîtrise
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No

Au sujet de l’entreprise: 

eXalt Solutions is redefining the future of B2B sales through AI.

Our no-code Knowledge Work as a Service (KWaaS) platform empowers companies to build Knowledge Bots that act as Advisors, Analysts, and Administrators—capturing expertise and automating decision-making at scale.

By turning institutional know-how into intelligent workflows, eXalt Solutions helps leading technology brands accelerate sales, reduce complexity, and grow faster. With AI-powered precision and a codeless foundation, we’re transforming how organizations sell, collaborate, and scale knowledge across their partner ecosystems.

Veuillez décrire le projet.: 

We're seeking a data architect and backend engineer to help design and build our next generation high-performance analytics infrastructure for our SaaS platform. You'll architect a scalable data layer that handles massive datasets and powers both traditional dashboards and AI-driven conversational analytics through our existing platform frontend. You'll have ownership to evaluate, recommend, and implement the optimal technology stack for handling massive usage datasets.

You will build:
• Modern Data Architecture: Design and implement a scalable data layer that handles millions to billions of usage events (users, sessions, pages, selections) with optimal query performance
• Backend API Layer: Build the API infrastructure that serves analytical queries to our platform's frontend
• Real-time Data Pipeline: Design data processing and aggregation strategies for near-real-time reporting

Expertise ou compétences exigées: 

• MS in Computer Science, Data Science, Applied Mathematics or related field.
• Passionate Problem Solver who challenges the status quo and translates novel ideas into customer solutions
• Understanding in building large-scale data and analytics platforms
• Experience with building data systems from scratch with significant user-facing performance requirements
• Deep understanding of modern data technologies
• Strong opinions on data architecture backed by real-world experience at scale
• Expertise in backend API development (REST, GraphQL, or other modern approaches)
• Experience integrating AI/LLM technologies with structured data systems

PREFERRED EXPERIENCE
• Understanding in building large-scale data and analytics platforms
• Experience with issues in building data systems from scratch with significant user-facing performance requirements
• Deep understanding of modern data technologies
• Strong opinions on data architecture backed by real-world experience at scale
• Expertise in backend API development (REST, GraphQL, or other modern approaches)
• Experience integrating AI/LLM technologies with structured data systems