Principal Data Engineer

Position Principal Java Data Engineer

Location Canada - Remote

Job Type Contract

Ideal Experience

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

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.