Design Faire’s next-generation data platform using Kafka and Iceberg while working in a hybrid mode with three office days weekly. Lead ingestion architecture for analytics and data science.As a Staff Engineer, you will own how production data reaches analytical stores across Faire. You will guide CDC, streaming ingestion, lakehouse architecture, and platform reliability.

The work supports Product Engineering, Data Science, Machine Learning, Analytics, Strategy, Finance, and Product.Key Responsibilities:

Set technical direction for production-to-analytics data movementBuild CDC pipelines from CockroachDB and MySQL through KafkaLand streaming data in Iceberg tables on S3Implement data contracts and quality checks across platformsLead migrations,



reliability practices, and engineering mentorshipRequirements:

Deep change data capture and Kafka streaming experienceHands-on Iceberg, S3, Spark, Databricks, and Snowflake experienceExperience operating Airflow and managed ingestion with FivetranStrong SQL, Python, and one additional listed languageExperience with AWS infrastructure, Terraform, governance, and mentoringBring staff-level data platform leadership, streaming expertise, and lakehouse experience to Faire’s analytical infrastructure.

📌 Staff Data Platform Engineer (Winnipeg)
🏢 Faire
📍 Winnipeg