Top Tech Jobs & Startup Jobs in Toronto

Lead architecture, integration, and optimization of enterprise MarTech ecosystems. Design data schemas, automated customer journeys, integrations, and attribution models while advising clients and ensuring compliance and performance.

Lead architecture, configuration, and optimization of enterprise Adobe Experience Cloud solutions (RT-CDP, AJO, CJA, AEM, Workfront). Build real-time data ingestion and unified profiles, design multi-channel journeys, enable personalization and analytics, enforce governance, author operational documentation, and advise clients on technical implementations.

Design, implement, and maintain marketing-technology integrations and custom applications across CRM, automation, analytics, and CDP platforms. Build scalable APIs, workflows, and reporting solutions, configure Adobe and other martech tools, collaborate with cross-functional teams, ensure code quality, and translate business requirements into technical solutions to improve engagement and measurement.

As an entry-level Software Developer, you will assist in developing mobile and web applications, participating in code reviews and ensuring high-quality software.

The Mobile Developer will assist in developing applications for iOS or Android, participate in code reviews, and research new technologies.

As a Senior Java Developer, you will develop web applications using Java and Spring Boot, participate in code reviews, testing, and research new technologies.

As a Full Stack Java Developer, you will work on web application development using Java and Spring Boot, contributing to high-quality software projects.

The Mobile Developer (React Native) will build high-quality cross-platform mobile applications, participate in testing, and collaborate with the development team.

Design, build, and maintain scalable data platforms and pipelines using Azure Fabric, Databricks, and Snowflake. Implement ETL/ELT, data modelling (medallion, data vault), and transformation layers (dbt). Optimize workflows for performance and reliability, enable batch and real-time ingestion with monitoring, ensure data security/compliance, and collaborate with analysts, scientists, and stakeholders.

Design, build, and maintain scalable data platforms and pipelines using Azure Fabric, Databricks, and Snowflake. Implement ETL/ELT processes, optimize workflows for performance and reliability, ensure data security and compliance, collaborate with stakeholders, and recommend improvements to data quality and analytics capabilities.