Director, Data Engineer- Subledger Integration
RBC
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Job summary
RBC is seeking a Director – Data Integration Subledgers to drive strategic direction for the Finance and Risk Data Platform. You will lead data sources discovery, transformations, and quality monitoring to deliver actionable insights for business partners.
You will manage a team of analysts, oversee data governance, and build scalable integration pipelines, leveraging Hadoop, Spark, Databricks and Snowflake. Strong leadership and communication are essential for success.
Qualifications
- 7+ years of analytical experience in data-driven roles.
- Strong quantitative, qualitative, analytical and problem-solving skills.
- In-depth knowledge of databases and data engineering concepts.
- Experience with Python, SQL, Spark, Hadoop, Snowflake or Databricks.
- Excellent storytelling to translate data into business insights.
- Experience with predictive modeling and machine learning techniques.
- Knowledge of finance data processes is a plus.
Responsibilities
- Lead a team of analysts within Data Engineering, with project oversight and development.
- Oversee transformation, data governance, analytics tooling and cross-team tasks.
- Build best-in-class data integration pipelines from data to ERP platforms.
- Develop actionable insights and communicate findings to stakeholders.
- Leverage big data techniques to unlock value from RBC data assets.
- Direct execution of medium to large analytic projects per business needs.
- Define analytic scope and architecture plans for data assets.
- Align analytics with long-term business goals, ensuring scalable processes.
Skills
Education
Tools
Job description
We are looking for a highly motivated Director – Data Integration Subledgers who will lead and provide strategic direction for the Finance and Risk Data Platform
What is the opportunity? We are looking for a highly motivated Director – Data Integration Subledgers who will lead and provide strategic direction for the Finance and Risk Data Platform
The Director – Data Integration Subledgers identifies data sources, extracts key data, transforms it into actionable insights / standard data models and monitors data quality to meet the organization's information system needs and requirements. Data Integration Architect will apply extensive, in-depth knowledge, skills, and practices to perform complex assignments to bridge the gap between business and technology by delivering critical insights and analysis to shape strategy, evolve data connectivity, and provide insights into data transformation. The global functions technology group supports Finance and Risk Business partners by using our extraordinarily rich data set that spans multiple versions and geographies globally and captures detailed datasets. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering and various groups at the Bank. To support our rapidly growing group we are looking for Data Scientists and Data Integration Architects who are equally passionate about the opportunity to use rich data to tackle meaningful business problems.
- Lead a team of analysts within Data Engineering group, including project oversight, coaching and professional development
- Lead other tasks on transformation, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis Ability to inspire highest level of quality/rigor/thought leadership in compete data lifecycle including gathering, transforming, reporting and analytics of the large data sets.
- Build best in class integration pipelines from data to ERP platform
- Guide team in development of actionable solutions and creation of deliverables that effectively communicate the findings and recommendations.
- Leverage big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Bank’s unique data set
- Lead development of assets supporting scalable analytic approaches capable of being leveraged by data scientists / analysts globally.
- Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potential.
- Evangelize new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessions.
- Utilize Hadoop, and related query engines, such as Hive, Databricks, Snowflake, to perform advanced data mining and analysis.
- Research industry metrics and business context and bring this context to bear in analyses Find opportunities to create and automate repeatable analyses or build self-service tools for business users.
- Direct the execution of medium to large analytic projects based on business requirements and desired business outcomes.
- Define detailed analytic scope and methodology and create architecture plans for data assets.
- Apply problem solving techniques and business acumen to derive business insights toward simple and complex business objectives.
- Understand the business in areas of focus to ensure analytical insights are properly understood in business context.
- Utilize best practices to operationalize analytical work building processes and outputs that are agile, efficient, sustainable, and resilient.
- Minimum of 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, orother data-driven functions
- Advanced quantitative, qualitative, analytical, problem solving, and critical thinking skills.
- Advanced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as Hive/SQL/Spark/Python
- Experience utilizing querying, automation, and big data technologies (e.g. Python,SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights
- Exceptional storytelling skills, with a track record of translating complex data into compelling business insights
- Expertise in the application of predictive modeling and machine learning techniques
- Knowledge of big data engineering stack including Hadoop, Spark, Kafka, Snowflake, Databricks and other related components
- Solid understanding of Finance business processes such as Balance Sheet Reporting, Profit and Loss Reporting, Capital Reserve Reporting, Capital Markets products and processes, and Regulatory Reporting
- Detail oriented, ensuring the accuracy and reliability of complex analyses and deliverables.
- Ability to communicate findings derived from complex analytics to Senior Leadership, both verbally and visually
- Strong organizational and leadership skills and demonstrated ability to work under deadline conditions and manage multiple tasks effectively and concurrently
- Excellent interpersonal and communication skills (written, verbal and listening)
- Strong collaboration skills and ability to work effectively both in a team-oriented environment as well as independently
- Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics, Statistics, Information Systems, or a related field or extensive related work experience (minimum 7 years). A higher degree or certifications related to data analysis is a plus.
- Proficiency with creating compelling presentations
- Comfort dealing with ambiguity
- Outstanding interpersonal and leadership skills, with the ability to mentor and lead teams.
- Data Engineering / Data Science certification and/or completion of Business Analysis training courses.
- Databricks / Snowflake/ Hadoop certifications
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
- Opportunities to do challenging work
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Software Product Management, Waterfall Model
RBC CENTRE, 155 WELLINGTON ST W:TORONTO
Toronto
Canada
37.5
Full time
TECHNOLOGY AND OPERATIONS
Regular
Salaried
2026-05-28
2026-08-28
Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.
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