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Lead Data Engineer, GFT



Data Science
Halifax, NS, Canada
Posted on Saturday, June 1, 2024

Job Summary

Job Description

What is the opportunity?
Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

We are looking for a skilled Lead Engineer to spearhead the design and development of a cutting-edge data platform supporting RBC’s climate goals. This role will play a crucial part in architecting a hybrid on-premises and Cloud data ecosystem to enable seamless data integration, storage, and accessibility. Ultimately, you'll lead the creation of a suite of risk and analytics solutions vital to RBC’s journey to net-zero.

What will you do?
1. Architect and Design Data Platform: Lead the conceptualization and design of a robust data platform capable of supporting various data types and sources across the organization.
2. Develop Scalable Solutions: Create scalable solutions for data ingestion, processing, storage, and retrieval, ensuring high performance and reliability.
3. Implement Data Governance Framework: Collaborate with stakeholders to establish and enforce data governance policies, ensuring data quality, privacy, and security standards are upheld.
4. Integrate Third-Party Tools: Evaluate and integrate third-party tools and technologies to enhance the functionality and efficiency of the data platform.
5. Collaborate with Cross-Functional Teams: Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions that meet their needs.
6. Drive Innovation: Stay updated on emerging technologies and industry trends, and propose innovative solutions to enhance the data platform's capabilities.

What do you need to succeed?
Must Have

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • Proven experience as a Lead Engineer or similar role, with a focus on designing and implementing highly scalable and self-serve capable data-intensive applications. Experience with various types of solutions beyond data processing, demonstrating strong engineering practices and code hygiene.

  • Recent expertise in data modeling, ETL processes, and data management concepts. Proficiency in programming languages such as Python, Java, or Scala.

  • Experience with cloud platforms like AWS, Azure, or GCP and strong understanding of data governance principles and practices.

  • Experience in banking, particularly in Risk & Finance domains, is a strong asset.

Nice to Have

  • Prior experience developing regulatory frameworks in Market Risk, Credit Risk or Liquidity Risk functions.

What’s in it for you?
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, to take on progressively greater accountabilities and to building close relationships with clients

  • Access to a variety of job opportunities across business and geographies.




Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details







Work hours/week:


Employment Type:

Full time


Technology and Operations

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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 jobs.rbc.com.