Design Faire’s next-generation data platform using Kafka and Iceberg while working in a hybrid model 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 movement
Build CDC pipelines from CockroachDB and MySQL through Kafka
Land streaming data in Iceberg tables on S3
Implement data contracts and quality checks across platforms
Lead migrations,



reliability practices, and engineering mentorship
Requirements: Deep change data capture and Kafka streaming experience
Hands-on Iceberg, S3, Spark, Databricks, and Snowflake experience
Experience operating Airflow and managed ingestion with Fivetran
Solid SQL, Python, and one additional listed language
Experience with AWS infrastructure, Terraform, governance, and mentoring
Bring staff-level data platform leadership, streaming expertise, and lakehouse experience to Faire’s analytical infrastructure.

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