Role: Principal Data Engineer Location: Toronto or Vancouver, Canada ( Remote) Mandatory skill:

- Spec-Driven Development (SDD) is Must with AI Ideal Experience Principal Data Engineer with at least 10 years of qualified experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines Practical experience with cloud platforms (AWS,



Azure, or GCP) and containerized deployments for data workloads Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations) Strong analytical and problem-solving mindset Ability to learn quickly and adapt to new technologies, even when uncomfortable Self-starter who thrives with minimal supervision and collaborates effectively as a team player Excellent organizational and critical-thinking skills Comfortable leveraging AI tools to accelerate development

📌 Principal Data Engineer (Toronto)
🏢 Purple Hires
📍 Toronto