Principal Enterprise Architect, AI Platform Location: Hybrid (Two days in-office) At a Glance The Principal Enterprise Architect for the AI Platform is a high-impact leadership role responsible for the strategic technical vision of our foundational AI
Synopsis of the role We are looking for a Sr. Software Engineer to work with new cloud technologies on a Data Analytics and validation platform that will be processing data from all major companies in Canada.
Requisition ID: 260874 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Senior Cloud Developer will be joining the Global Fraud Authentication Technology team. The purpose of this position/role
Description Our team and what we’ll accomplish together Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Data and AI Insights team is dedicated to making TELUS
Requisition ID: 248377 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. We are seeking a talented Full Stack Engineer to design, build, and maintain scalable
About Fasken As a premier law firm with over 900 lawyers worldwide, Fasken is where excellence meets expertise. We are dedicated to shaping the future our clients want, precisely when it matters most. For more information,
Req ID: Technology Architect - Senior Location: 222 Jarvis St, Toronto, ON Duration: 252days Title Technology Architect Description Deliverables: The resources will serve as subject matter experts supporting a range of cloud initiatives across the Government
Elevate your career as a Salesforce Developer specializing in CRMA solutions. Design, build, and optimize comprehensive dashboards with AI/ML integration for impactful analytics. As a key player with over 4 years of hands-on experience in Salesforce
Key Responsibilities Solution Delivery Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards & lenses with best‑practice UX and performance
Key Responsibilities Solution Delivery Design and build end-to-end CRMA solutions including: Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards
Key Responsibilities Solution Delivery Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards & lenses with best-practice UX and performance
Key Responsibilities Solution Delivery Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards & lenses with best-practice UX and performance
Key Responsibilities Solution Delivery Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards & lenses with best-practice UX and performance
Key Responsibilities Solution Delivery Design and build end-to-end CRMA solutions including: Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards
Key Responsibilities Solution Delivery Design and build end-to-end CRMA solutions including: Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards
Key Responsibilities Solution Delivery Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards & lenses with best-practice UX and performance
Key Responsibilities Solution Delivery Design and build end-to-end CRMA solutions including: Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards
Key Responsibilities Solution Delivery Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards & lenses with best‑practice UX and performance
Key Responsibilities Solution Delivery Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards & lenses with best-practice UX and performance
Key Responsibilities Solution Delivery Data ingestion and transformation (Dataflows / Recipes / connectors) Datasets & data models (including relationships and incremental loads) Semantic layer (SAQL, bindings, metric definitions, templates) Dashboards & lenses with best‑practice UX and performance