Senior Data Engineer,

Senior Data Engineer, (Global Security) For a Senior Data Engineer to join our collaborative cyber security team, focusing on building scalable data solutions that directly enhance our application ecosystem. This role will work together with our application developers to integrate a robust data capability into our applications to transform how our products leverage data for better design and business value. You’ll be instrumental in developing a comprehensive data strategy that seamlessly bridges the gaps between data and application functionality. What will you do? Design, develop, and maintain end-to-end data pipelines in Azure Databricks using Spark (SQL, PySpark). Implement and optimize ELT/ETL workflows using Databricks Workflows or Apache Airflow ensuring data integrity, quality, and reliability. Manage Delta Lake solutions for data versioning, incremental loads, and efficient application data access. Apply best practices in data governance, ensuring compliance using Unity Catalog for access management and data lineage tracking. Monitor, troubleshoot, and optimize Spark jobs for performance, addressing data pipeline bottlenecks that impact application responsiveness. Build automated monitoring, alerting, and incident management solutions to ensure data reliability, availability, and performance. Collaborate with developers and cross-functional teams to integrate data capabilities into existing and new applications. Build APIs and data services that applications can consume for real‑time and batch data processing. Develop and maintain comprehensive documentation for data pipelines, transformations and data models. Foster knowledge sharing and collaboration across the team. What do you need to succeed? Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Engineer). Application development experience, proficient in Python and building microservices. Experience working with an enterprise that embraces programming best practices. Bachelor’s or master’s degree in computer science, Data Engineering or a related field. 5+ years of proven experience in data engineering, delivering business‑critical software solutions for large enterprises. Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime, cluster management, etc.). Strong experience in Spark and PySpark for big data processing. Knowledge of SCM, infrastructure‑as‑code, and CI/CD pipelines. Nice to Have Exposure to Kubernetes, Docker, and Terraform. Strong understanding of business intelligence and reporting tools. Familiarity with Cyber Security concepts. What’s in it for you? A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable. Leaders who support your development through coaching and managing opportunities. Work in a dynamic, collaborative, progressive, and high‑performing team. A world‑class training program in financial services. Opportunities to do challenging work. Opportunities to take on progressively greater accountabilities. Opportunities to build close relationships with clients. Additional Job Details Address: 16 YORK ST, TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2025-10-03 Application Deadline: 2026-01-18 Equal Opportunity Employment At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. #J-18808-Ljbffr