Director, Data Fabric Operations & Support

Job Description

We are seeking a Data Engineering leader to drive the management of Data engineering solutions on RBC’s Capital Markets Data and AI Hybrid Multi‑cloud Platforms, that meet the strategic data objectives of the business. As a Director of Data Fabric Services team, the successful candidate will be responsible for leading the design, architecture, and maintenance of highly available, scalable and robust systems, contributing to drive value and stable business operations across Capital Markets data & infrastructure teams.

The candidate will lead multiple data platforms and applications as well as guide, mentor, and grow a team of talented architects and engineers. This role requires strong data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi‑task effectively as a member of a dynamic, fast‑paced team.

• Work with the Business, Product Managers, Devs, Data Engineers and Platform leads to coordinate and multitask on various projects
• Mentor infrastructure team, connect with business teams to leverage deep technical expertise with modern data engineering tools and platforms, contributing to healthy production environments
• Oversee Cloud Infrastructure Management and lead the on‑prem to Azure Cloud migration projects
• Review data trends, best practices and emerging data technologies and capabilities across the industry, incorporating innovation to continuously enhance data strategy while supporting evolving business objectives
• Strategize and lead the Operational Performance Enhancement process focusing on mitigating risk and increasing efficiencies
• Define and offer strategic solutions addressing key pain points to sustain & strengthen existing and potential customer and vendor relations
• Ensure alignment of the bank’s infrastructure possessing a solid understanding of data governance, security best practices, compliance and regulatory requirements
• Serve as a trusted advisor to executives, senior business leaders, and cross‑functional teams

• 10+ years’ experience with Data, Infrastructure and Engineering
• Broad understanding of financial services, data management principles, including data governance, architecture, and integration
• Extensive experience with cloud platforms and K8 (e.g., MS Azure, AWS, Databricks, OCP, Kubernetes, Azure)
• Exceptional people influence skills, including the ability to collaborate with multiple teams and communicate effectively across all levels of the organization
• A strong aptitude and desire for learning

• Strong understanding of CI/CD pipelines and related tools (e.g., Apache Airflow, Job Schedulers, Helios, Git Hub)
• Experience with incident management tools (e.g., Service Now, Jira, Confluence)
• Broad knowledge of financial services information systems, data management applications, and “big data” tools such as Hadoop, Dremio, Ignite, Middleware systems, SQL, Python, Snowflake, etc.

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• 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
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high‑performing team
• A world‑class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

Apache Hadoop, Apache Spark, Azure Kubernetes Service (AKS), Big Data, Customer Support Systems, Docker, Elastic Search, Emerging Technologies, Employee Career Development, Employee Success, IT Service Management (ITSM), IT Systems Management, Java, Key Performance Indicators (KPI), Kubernetes, Linux, Logstash, Microservices Architecture, Mongo

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