Principal Java Data Engineer

Travel to Office expectations

• For Remote Roles: In-office events will require travel to and from the Mississauga and/or Salt Lake City office.
• For Hybrid Roles: There will be an expectation to reside within commutable distance to the office/location specified in the job listing.

About the role

PointClickCare is searching for a Principal Software Data Engineer who will contribute to all phases of the software development life cycle, and will play a crucial role in designing, developing, and maintaining large scale Data Platform and data pipelines based on microservices architecture, while also encouraging and optimizing the daily execution of technical excellence across an empowered team.

Responsibilities

• Lead and guide the design and implementation of scalable distributed systems based on Java microservices
• Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS
• Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
• Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
• Drive adoption of best practices in data governance, observability, and performance tuning for data workloads
• Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
• Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

Qualifications

• Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming)
• Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
• 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)
• Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
• Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
• Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark)
• Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization

Benefits & Perks

• Retirement Plan Matching
• Flexible Paid Time Off
• Wellness Support Programs and Resources
• Parental & Caregiver Leaves
• Fertility & Adoption Support
• Continuous Development Support Program
• Employee Assistance Program
• Allyship and Inclusion Communities

Pay

USD base salary range for this position is $183,000-$203,000 + bonus + benefits.

Schedule

Not specified.