Director, Data Engineering And Innovation

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At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

Job Title

Director, Data Engineering and Innovation

What is the role?

As the Director of Data Engineering and Innovation, you will play a pivotal role in shaping and driving Canadian Banking Operations data engineering capabilities. This leadership position requires a unique combination of technical expertise, strategic thinking, and innovation to leverage data and advanced analytics solutions that drive business growth, enhance operational efficiency, and ensure regulatory compliance. You will oversee a team of data engineers and collaborate closely with cross-functional stakeholders to design, develop, and implement scalable and resilient data pipeline solutions supporting actionable insights for senior executives and business partners.

What will you do?

• Design and oversee the development of scalable, efficient, and robust data pipelines for Canadian Banking Operations spanning across employee productivity, capacity planning, incentive designs and reporting.
• Partner with business leaders and stakeholders within CBO to identify data-driven opportunities, define project requirements, and deliver solutions that meet their specific needs and comply with regulatory guidelines.
• Identify and evaluate emerging data technologies, tools, and methodologies relevant to Canadian Banking Operations while fostering innovation and enhancing data engineering capabilities.
• Collaborate with DNA and Day2 Support team to ensure seamless integration and interoperability with the delivery of the data pipelines into production
• Implement and maintain data governance practices, data quality standards, and data management frameworks specific to the Canadian Banking sector to ensure data integrity, consistency, and compliance.
• Communicate effectively with technical and non-technical audiences, translating complex concepts into clear and actionable action items.
• Collaborate with cross-functional teams, including data scientists, data product owners, and business stakeholders with WFM, Incentive and Lines of Business, to understand their data requirements and deliver high-quality data pipeline solutions.
• Lead and manage a team of data engineers supporting Canadian banking operations providing technical guidance, mentorship, and professional development opportunities.
• Foster a culture of innovation within the data engineering team, encouraging experimentation and exploration of new ideas and technologies and enforce best practices for data engineering ensuring adherence to industry standards, data governance, and data security protocols.

What do you need?

Must have skills:

• Excellent analytical and problem-solving skills.
• Strong expertise in data engineering principles, practices, and tools including data modeling, ETL processes, data integration, and data warehousing
• Strong knowledge of design, development, and implementation experience utilizing data science technologies.
• Master’s or Ph.D. in Computer Science or Engineering
• - Solid understanding of Canadian banking regulations, data governance, data security, and data privacy requirements (e.g., OSFI, PIPEDA).
• Expert technical documentation skills.
• Knowledge in data extraction, transformation, and load processes with a variety of data types
• 7+ Years in data engineering roles
• Proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
• Contribution to research communities including publishing papers.
• 3-5 Years of experience managing teams.
• Knowledge with big data technologies – Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark

Job Summary

Address:

TORONTO, Ontario, Canada

City:

CAN-ON-TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Personal and Commercial Banking

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2023-06-15

Application Deadline:

2023-08-26

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.