Design Faire’s data platform with Kafka and Spark expertise in a hybrid engineering role supporting analytics and machine learning. As a Staff Engineer, you will set direction for data infrastructure serving Product Engineering, Data Science, Machine Learning, Analytics, Strategy, Finance, and Product. You will improve the path from CockroachDB and MySQL into Snowflake and Databricks. The work includes streaming ingestion, lakehouse architecture, and platform reliability. Key Responsibilities:
Set technical direction and own the data platform roadmap Build CDC ingestion through Kafka into Iceberg tables on S3 Implement data contracts, quality checks, and dataset SLAs Operate Airflow and Fivetran across shared data infrastructure Lead pipeline migrations and mentor engineers Requirements:
Experience setting direction for large-scale data infrastructure Deep CDC and Kafka streaming ingestion experience Hands-on Iceberg, Spark, Databricks, and Snowflake experience Strong SQL, Python, and infrastructure delivery using Terraform Experience leading migrations, mentoring engineers, and participating in on-call Own Faire’s data movement, reliability, and quality with Kafka, Spark, Iceberg, and cross-team technical leadership.
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Staff Data Platform Engineer in Kitchener employer: Faire
Faire is an exceptional employer located in the vibrant city of Toronto, offering a dynamic work culture that fosters collaboration and innovation. As an AI-Driven Product Engineer for the Ads Platform, you will have the opportunity to work alongside talented professionals from diverse fields, driving impactful projects that support independent brands and retailers. With a strong emphasis on employee growth and development, Faire provides ample opportunities for career advancement while promoting a healthy work-life balance.
