Design cloud-native data platforms with AWS, Azure, or GCP expertise at Slalom in Canada’s hybrid consulting setting. Guide architectures supporting analytics and AI.
As a Data Architect, you will help clients modernize enterprise data ecosystems and deliver scalable solutions. The work spans data lakes, lakehouses, warehouses, streaming architectures, Databricks, Snowflake, and governance. You will translate business objectives into secure, maintainable platforms while staying connected to implementation.
Key Responsibilities: Design cloud-native data lakes, lakehouses, warehouses, and real-time platforms
Lead architecture efforts from discovery through implementation
Partner with engineers across AWS, Azure, GCP, Databricks, and Snowflake




Facilitate technical discovery and stakeholder alignment workshops
Support solution design, client conversations, and technical pre-sales
Requirements: Eight or more years in data engineering or architecture
Enterprise-scale cloud data platform design experience
Understanding of streaming, governance, modeling, security, and quality
Hands-on AWS, Azure, or GCP experience
Strong communication, consulting, and stakeholder management skills
Bring cloud architecture, data engineering, and client consulting expertise to Slalom’s modern analytics and AI platform work.

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📌 Cloud Data Architect Slalom Canada (British Columbia)
🏢 Slalom
📍 British Columbia