Cloud Data Engineer Slalom Canada
Summary
Data engineer at consulting firm Slalom, designing and building scalable cloud-native data platforms, data lakes, lakehouses, and batch/streaming pipelines for clients. Works across AWS, Azure, GCP, Databricks, and Snowflake using SQL, Python, Java, or Scala, with CI/CD, infrastructure as code, and observability. Hybrid role based in Vancouver.
Cloud data engineering at Slalom centers on scalable platforms and pipelines. This hybrid opportunity requires living within commuting distance of a Slalom location.
As a Data Engineer, you will collaborate with clients, architects, and multidisciplinary delivery teams. You will design cloud-native platforms, data lakes, lakehouses, warehouses, and data products. Your work spans AWS, Azure, GCP, Databricks, and Snowflake based on client needs.
Key Responsibilities:
- Design and implement scalable cloud-native data platforms
- Build batch, streaming, integration, and orchestration pipelines
- Translate requirements into maintainable engineering solutions
- Apply testing, CI/CD, infrastructure as code, and observability
- Enable governed foundations for analytics and AI workloads
Requirements:
- Experience with AWS, Azure, GCP, Databricks, or Snowflake
- Proficiency in SQL, Python, Java, or Scala
- Experience with modern data engineering capabilities
- Understanding of secure, governed, observable data foundations
- Strong problem-solving, communication, and collaboration skills
Apply cloud, programming, and data platform expertise while supporting Slalom clients across modern technology ecosystems.