Principal Software/Data Engineer (Event Architecture)

TL;DR

Principal Software/Data Engineer (Event Architecture): Designing and delivering production-grade streaming data pipelines for healthcare data ecosystem with an accent on real-time processing, event-driven architectures, and data quality practices. Focus on engineering scalable solutions with Kafka, Flink, Spark Streaming, implementing observability, schema evolution, and advancing cloud-native lakehouse modernization.

Location: Remote with required travel to Mississauga and/or Salt Lake City offices for onboarding, team events, and meetings.

Salary: CAD $156,000–$174,000 + bonus + benefits

Company

Leading health tech company with the largest long-term and post-acute care dataset, serving 30,000+ provider organizations across North America.

What you will do

• Lead design and implementation of scalable streaming data pipelines
• Engineer and optimize real-time solutions using Kafka, Flink, Spark Streaming
• Collaborate with product, analytics, and AI teams to make data a strategic asset
• Advance event-driven architectures and cloud-native technologies
• Drive data governance, observability, performance tuning for streaming workloads
• Embed data quality via schema contracts, tests, assertions, and automated checks

Requirements

• 10+ years in software/data engineering, including 4+ years in streaming/real-time systems
• Experience driving technical direction, mentoring while hands-on delivering high-scale solutions
• Deep expertise in Kafka, Flink, Spark Streaming, event-driven architectures, distributed systems
• Cloud platforms (AWS, Azure, GCP), containerized deployments
• Data quality practices, CI/CD, schema management, testing (dbt, Great Expectations)
• Observability with metrics, logging, tracing, alerting; data governance, optimization
• Lakehouse architectures (Databricks, Azure ADLS Gen2, Apache Hudi)
• Strong collaboration and communication skills

Nice to have

• Strong analytical and problem-solving mindset
• Quick learner adapting to new technologies
• Self-starter thriving with minimal supervision
• Comfortable leveraging AI tools

Culture & Benefits

• Benefits from Day 1 including retirement plan matching
• Flexible paid time off, wellness support programs
• Parental & caregiver leaves, fertility & adoption support
• Continuous development support program
• Employee assistance program, allyship and inclusion communities
• Employee recognition programs