Senior Data Architect for AML IT

2 days ago

Toronto, Ontario, Canada Royal Bank of Canada Full time

We are seeking a highly skilled Senior Data Architect to join our AML IT team in Toronto. As a key member of our technology group, you will play a crucial role in designing and implementing data pipelines using big data technologies such as Spark and Databricks.

Job Summary

We believe in continuous growth and expanding your capabilities. Join us today and have a big impact influencing the strength of our advanced insight and analytics. This team is involved in several project scopes, so there are a variety of projects to get involved in.

Key Responsibilities:
  • Lead a group of developers building data pipelines using big data technologies for batch as well as real-time streaming patterns for ingesting in the data lake platform.
  • Manage existing ETL processes to support on-premise clients and build the next generation ETL processes in Cloud.
  • Drive the Data Virtualization initiative and identify new and emerging solutions to build data access layers for Data Lake clients.
  • Execute in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards.
  • Experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the team.

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.

Requirements:
  • Minimum 10-12 years professional software development experience delivering highly scalable, high-performance applications with core skillsets in Data Architecture, ETL implementation both on-premise and in cloud.
  • Excellent communication skills both written and oral along with good presentation skills.
  • Strong leadership skills managing a team of developers focused on data pipelines, providing oversight on implementation, performing code reviews, and managing Production rollouts.
  • Working experience using big data technologies (Spark, Databricks) on medium to large scale datasets.
  • Bachelor's degree in computer science or equivalent.
  • Experienced running applications in cloud-based platforms.
  • Knowledge of DevOps concepts and tools (git, GitHub Actions, Sonar, etc).
What We Offer:
  • 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.
Salary:

The estimated salary range for this position is $120,000 - $160,000 per year, depending on experience.

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