Top Tech Jobs & Startup Jobs

Design and implement scalable data architectures, including lakes, warehouses, analytics platforms, and Databricks Lakehouse environments. Develop data models, ETL/ELT pipelines, streaming ingestion solutions, and integration frameworks. Lead data governance, security, compliance, performance optimization, migrations, and CI/CD implementation. Collaborate with clients and internal teams to translate business needs into technical solutions, advise on modernization strategies, and mentor data engineers.

Designs and leads scalable data architectures across cloud platforms, including data lakes, warehouses, analytics platforms, ETL/ELT pipelines, streaming ingestion, and data governance. Provides technical leadership, mentors engineers, optimizes performance and reliability, supports data migrations to Databricks Lakehouse, and advises clients on modernization and architecture decisions. Collaborates with stakeholders and analytics teams to deliver solutions for reporting, analytics, and AI initiatives.

Lead AI architecture across multiple enterprise client engagements, from pre-sales feasibility and technical scoping through production delivery. Govern model hosting, data residency, security, integrations, cost, latency, and reliability. Own reference architectures, accelerators, standards, and technical escalations while remaining hands-on with code and prototypes. Mentor GenAI and data engineers, review designs, support hiring, and represent the company before client architecture and security review boards.

Lead AI architecture across multiple client engagements, shaping solutions during pre-sales and governing designs through delivery. Define model hosting, security, data residency, integration, evaluation, observability, and cost standards. Maintain reference architectures and reusable accelerators, review code and designs, prototype solutions, mentor AI and data engineers, support technical hiring, and represent the company before enterprise architecture and security boards. The role requires hands-on enterprise software and production LLM experience, commercial judgment, and willingness to travel to Canadian client sites.

The Web Platform Support Lead oversees team operations, ensures service quality, manages escalations, facilitates training and leads support processes for the Web Platform Team.

The Web Platform Support Specialist supports internal clients with web content management, ensures service quality, and manages process-related applications while providing training and documentation support.

Design and prototype Databricks Lakehouse architectures, lead technical discovery, advise on data pipelines and governance, integrate Databricks with hyperscalers and adjacent tooling, demonstrate ML/GenAI use cases, and support sales and delivery as a hands-on technical architect and Databricks subject-matter expert.

Design and prototype Databricks Lakehouse architectures, lead technical discovery, build proofs-of-concept, advise on data pipelines and governance, integrate Databricks with cloud hyperscalers, demonstrate ML/GenAI capabilities, support sales and delivery, and enable internal teams with reusable assets and best practices.