Data Platform Operations Engineer (London)
Royal Bank of Canada
As a Data Platform Operations Engineer, you will safeguard the availability, performance, and scalability of the data platform while driving automation and site reliability improvements. You’ll collaborate with cross-functional teams to enforce governance, security, and data quality, and you’ll support data reconciliation and disaster recovery efforts. The role combines hands-on engineering with monitoring, deployment management, and on-call responsibilities to ensure SLAs are met. This is a chance to influence how data powers client-focused insights at RBC.
Pay / Benefits- bonuses
- flexible benefits
- competitive compensation
- career development
- world-class training program
- coaching and leadership support
- Maintain system reliability, uptime, and scale while delivering changes
- Collaborate with Data & Analytics, Security, and other teams to apply best practices
- Monitor performance, troubleshoot proactively, and document fixes
- Oversee deployments, data pipeline stability, and dashboard refreshes
- Implement security, governance, and data lifecycle management
- Keep documentation up to date and support disaster recovery planning
- Optimize the data quality platform and manage data governance processes
- Participate in on-call rotations for outside-hours support
- Design and maintain monitoring dashboards and SRE practices
- Automate operational processes and leverage AI to enhance efficiency and self-healing
- Experience supporting scalable, high-performance data platforms in hybrid Azure environments
- Hands-on SQL/ETL, CI/CD, DevOps, monitoring/logging, data security/governance (Purview, Collibra), and Git
- Familiarity with Agile methodologies and ITSM tools (ServiceNow, Jira)
- Incident management experience with high availability/disaster recovery
- Excellent communication and collaboration skills with ability to produce clear docs
- Engineering experience in Site Reliability Engineering (SRE) and ability to work under tight deadlines
- Databases & Tools: Microsoft SQL Server (administration, T-SQL, DML, DDL, SSIS), Databricks, Power BI
- Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps, Key Vaults, Storage Accounts
- Infrastructure & Automation: Terraform, Python/PySpark
- Expertise in data modeling, integration, ETL, governance, and security
- Nice-to-have: Datactics (or similar) and Generative/Agentic AI
- strong communication
- cross-team collaboration
- organization
- SQL
- ETL
- CI/CD
Reference: WJ-747_30253988