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 up-to-date analytics and AI platform work.

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📌 Cloud Data Architect Slalom Canada
🏢 Slalom
📍 Canada