Join Faire as a Data Infrastructure Engineer and lead the evolution of our data platform with a hybrid work model. Focus on streaming ingestion, data quality checks, and mentoring teams to ensure data integrity and observability. In this hands-on role, you'll own the technical direction for how data flows from production systems into analytical stores.

Collaborating with product engineering, data science, and analytics, you will design robust solutions using CockroachDB, MySQL, Kafka, and Snowflake. Your expertise will guide the migration of existing pipelines, ensuring a seamless transition for dependent teams. Key Responsibilities:
Set roadmap for data flow from production to analytics
Build CDC and streaming ingestion layer for data consistency




Implement quality checks and data contracts throughout the platform
Ensure reliability with SLAs and on-call support
Mentor engineers to enhance the data engineering practice Requirements:
Deep experience in change data capture and streaming ingestion
Hands-on with lakehouse architectures, especially Iceberg on S3
Robust Spark skills and experience with Snowflake
Expertise operating Airflow at scale
Proficient in SQL and Python, plus one of Kotlin, Java, Scala, or Go Develop your skills and influence data practices at Faire as a key player in data infrastructure.

📌 Data Infrastructure Engineer At Faire Kitchener
🏢 Faire
📍 Kitchener