About The Position

This role is responsible for designing, developing, and maintaining complex data pipelines for real-time vulnerability data ingestion and processing. It involves leading the strategic transition from traditional reporting to AI-powered analytics, including hands-on development of AI agents and designing optimized prompts. The role also includes developing Python-based automation solutions, designing and optimizing AI prompts for Agentic AI systems, partnering with stakeholders to gather requirements, and architecting scalable data engineering infrastructure.

Requirements

  • 5+ years of progressive experience in data engineering, business intelligence, or analytics roles
  • Strong Python programming capabilities for advanced automation, data manipulation, API integration, AI system integration, and scripting solutions
  • Proven experience with AI prompting, prompt engineering, and working with Agentic AI systems, LLMs, or AI agents in production environments
  • Expert-level proficiency in SQL and database queries with hands-on experience designing and optimizing complex data pipelines and ETL processes
  • Hands-on experience with Azure Databricks (ADB) and Snowflake for data warehousing, processing, and analytics workloads
  • Experience with AI/ML frameworks, RAG (Retrieval-Augmented Generation) systems, or API integration with AI platforms

Nice To Haves

  • Background in banking, financial services, or highly regulated industries with understanding of compliance requirements
  • Knowledge of vulnerability management processes, scanning tools (Qualys, Tenable, Rapid7), and cybersecurity risk frameworks
  • Relevant certifications such as Snowflake SnowPro, Azure Data Engineer Associate, or similar credential

Responsibilities

  • Design, develop, and maintain complex data pipelines using advanced SQL queries, Azure Databricks (ADB), and Snowflake for real-time vulnerability data ingestion and processing
  • Lead the strategic transition from traditional Tableau reporting to Agentic AI-powered analytics, including hands-on development of AI agents and designing optimized prompts for AI systems
  • Develop sophisticated Python-based automation solutions for vulnerability data collection, processing, report generation, workflow orchestration, and AI integration
  • Design and optimize AI prompts for Agentic AI systems to automate vulnerability analysis, threat assessment, and intelligent reporting workflows
  • Partner with Cybersecurity, Technology, and Business stakeholders across RBC to gather requirements and deliver customized vulnerability intelligence
  • Architect scalable data engineering infrastructure supporting ETL processes, data quality controls, and real-time analytics across multiple platforms

Benefits

  • A comprehensive Total Rewards Program, including competitive compensation, bonuses, and flexible benefits.
  • Opportunities to lead high-impact projects that shape the future of RBC’s reporting capabilities.
  • Access to world-class training and development programs in financial services and technology.
  • A collaborative, innovative, and inclusive work environment that values progressive thinking and mutual success.
  • Flexible work/life balance options to support your well-being and productivity.
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