Design cloud-native data platforms with AWS, Azure, or GCP expertise at Slalom in Canada’s hybrid consulting environment. 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 Robust 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 (Vancouver)
🏢 Slalom
📍 Vancouver