Design cloud-native data platforms with AWS, Azure, or GCP expertise at Slalom in Canada’s hybrid consulting workplace. 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.

📌 Cloud Data Architect Slalom Canada (Winnipeg)
🏢 Slalom
📍 Winnipeg