Top Tech Jobs & Startup Jobs in Calgary

Gather and document business requirements, translate them into user stories and acceptance criteria, map and optimize customer workflows, and support CRM process automation. Configure Creatio using low-code tools, collaborate with technical teams, validate implementations, analyze customer data, and support client adoption, training, and onboarding. Participate in agile sprints, manage change control, identify future consulting opportunities, and deliver customer-focused solutions across enterprise client engagements.

Own enterprise client relationships, product scope, AI requirements, acceptance criteria, outcomes, and weekly release cadence. Lead discovery, backlog prioritization, stakeholder alignment, domain expert coordination, delivery health reporting, change adoption, and commercial risk management. The role requires shipping software in regulated industries, understanding LLM capabilities, managing fixed-fee engagements, and communicating with executive stakeholders.

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 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.

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.