Senior Engineer - Data/Platform

Callière Group

  • Toronto, ON
  • Permanent
  • Full-time
  • 14 days ago
Job Description :We are seeking another skilled engineer passionate about architecting robust and scalable data solutions. In this role, you’ll be instrumental in building and refining the backbone of our data infrastructure, enabling critical backend services and large-scale analytics.Role OverviewYou’ll collaborate across teams to design, implement, and maintain systems that handle high-throughput data ingestion, processing, and storage. This position goes beyond traditional data engineering, offering the opportunity to influence the core architecture that supports our API and analytics capabilities at massive scale.Key ResponsibilitiesLead initiatives focused on improving data synchronization, storage efficiency, data enrichment, and analytics workflows.Develop and enhance both streaming and batch data pipelines that underpin our main products and APIs.Architect storage frameworks capable of managing substantial volumes of IoT and time-series information.Maintain and evolve real-time systems to accommodate rapidly increasing data streams.Apply distributed tracing and observability best practices to strengthen system monitoring and diagnostics.Deliver high-quality, maintainable solutions using Java and Node.js within our platform ecosystem.Contribute to high-level architectural strategies to ensure the platform’s scalability, reliability, and performance.RequirementsQualificationsAt least 4 years of experience in platform or data engineering roles.Minimum 2 years working on large-scale data pipeline design and optimization (terabyte to petabyte scale).Demonstrated expertise in system architecture, particularly data-centric workflows.Knowledge of modern data lakehouse technologies (such as Iceberg, Delta, Hudi, or Snowflake).Hands-on experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink).Solid understanding of distributed computing and large-scale data management.Proficiency in Java, with an emphasis on writing maintainable and efficient code.Strong analytical and collaborative skills.Technology StackCategory
Tools & TechnologiesLanguages
JavaScript, TypeScript, JavaIaC
SST, AWS CDKCompute & Orchestration
AWS Lambda, Step FunctionsStorage
Amazon S3, DynamoDBMessaging & Events
Amazon SQS, EventBridgeData Processing
AWS Glue, Flink, Kafka, Iceberg, DuckDBCI/CD
GitHub ActionsIf you are eager to drive innovation on a high-impact data platform and enjoy solving diverse engineering challenges, we encourage you to apply.

Callière Group