Drive innovation in data at a tech wholesale platform as a Staff Data Infrastructure Engineer. This hybrid position focuses on streamlining data flow and enhancing quality controls for data systems.Join a dedicated engineering team that powers the company's thriving marketplace. You'll steer the technical direction of data movement from production databases like CockroachDB and MySQL to analytic settings like Snowflake and Databricks. Key responsibilities include building ingestion layers, setting SLAs, and mentoring fellow engineers for effective data management.Key Responsibilities:
Set technical direction for data movement into analytics
Build CDC and streaming ingestion layers using Kafka
Implement data quality checks and data contracts




Manage Airflow and Fivetran operations effectively
Ensure platform reliability through SLOs and incident reviews

Requirements:
Experience with change data capture and Apache Kafka
Solid knowledge of lakehouse architectures and Iceberg
Proficient in Spark, Databricks, and Snowflake
Solid Python skills plus experience with AWS tools
Understanding of data governance and cross-team leadership

Elevate your data engineering skills and make a significant impact at this creative company.#J-18808-Ljbffr

📌 Staff Data Infrastructure Engineer Hybrid Role Waterloo
🏢 Faire
📍 Waterloo