Data Engineer Lead
Top Benefits
About the role
What is the opportunity?
Join the Shared Platform Services (SPS) team as we revolutionize operational processes within Technology Infrastructure by delivering enterprise-grade, data-intensive AI and GenAI solutions. We are looking for a talented and adaptable ML Engineer to help design, build, and maintain cutting-edge solutions for key stakeholders across Technology & Operations, including Digital Platform Services, Engineering Transformation Services, SRE Operations Teams, and TI Platforms.
In this role, you will work at the forefront of AI and machine learning infrastructure, focusing on LLM developments as well as GenAI infrastructure. You’ll also play a critical role in the end-to-end software development lifecycle (SDLC), from gathering requirements and designing solutions to development, testing, deployment, and knowledge transfer to support teams. Working in a fast-paced, collaborative environment, you’ll partner closely with data leads and business stakeholders to ensure that our solutions are fit for purpose and operate seamlessly.
This is a unique opportunity to grow your expertise in machine learning infrastructure and work with a passionate, high-performing team committed to bringing AI and GenAI solutions to enterprise at scale.
What will you do?
- Implement LLM agents and deploy them on hybrid cloud environment
- Design, develop, and implement AI-enabled data ingestion applications and machine learning systems
- Collaborate with peers to write, troubleshoot, enhance, and document high-quality code aligned with strategic initiatives and detailed requirements.
- Partner with internal teams across RBC to deliver software features, resolve issues, and implement bug fixes.
- Ensure seamless integration of machine learning applications into enterprise-grade infrastructure while maintaining high performance and reliability.
What do you need to succeed?
Must Have:
- Experience building and maintaining data ingestion pipelines
- In-depth knowledge of the Python application deployment lifecycle, including CI/CD processes.
- Hands-on experience deploying hybrid environments on on-premise and cloud platforms, including RedHat OpenShift and Azure.
- Proven proficiency in programming languages such as Python, and Java.
- Experience working with relational databases (e.g., MSSQL, PostgreSQL, MySQL), including expertise in profiling data and writing/optimizing SQL queries.
- Familiarity with non-relational databases e.g., Elasticsearch, MongoDB.
- Strong written and verbal communication skills, with the ability to create compelling presentations and effectively collaborate with stakeholders.
Nice-to-have:
- Experience with data analytics and monitoring platforms, such as Splunk, Dynatrace, Moog, PromQL, and Grafana Enterprise Metrics (GEM).
- Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or scikit-learn.
- Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, or MetaFlow.
- Experience working in agile teams using methodologies like Scrum or Kanban.
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.
- 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.
- Opportunities to do challenging work.
- Opportunities to build close relationships with clients. The expected salary range for this particular position is $110,000-$190,000, depending on your experience, skills, and registration status, market conditions and business needs.
RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
- Drives RBC’s high-performance culture
- Enables collective achievement of our strategic goals
- Generates sustainable shareholder returns and above market shareholder value #LI-POST
Job Skills
Big Data Management, Critical Thinking, Data Administration, Data Governance, Data Movement, Data Warehousing (DW), Information Capture, Knowledge Organization, Long Term Planning, Repository Tools
Additional Job Details
Address:
GOLDMAN SACHS TOWER, 30 HUDSON STREET:JERSEY CITY
City:
Jersey City
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-09-04
Application Deadline:
2025-09-18
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
Data Engineer Lead
Top Benefits
About the role
What is the opportunity?
Join the Shared Platform Services (SPS) team as we revolutionize operational processes within Technology Infrastructure by delivering enterprise-grade, data-intensive AI and GenAI solutions. We are looking for a talented and adaptable ML Engineer to help design, build, and maintain cutting-edge solutions for key stakeholders across Technology & Operations, including Digital Platform Services, Engineering Transformation Services, SRE Operations Teams, and TI Platforms.
In this role, you will work at the forefront of AI and machine learning infrastructure, focusing on LLM developments as well as GenAI infrastructure. You’ll also play a critical role in the end-to-end software development lifecycle (SDLC), from gathering requirements and designing solutions to development, testing, deployment, and knowledge transfer to support teams. Working in a fast-paced, collaborative environment, you’ll partner closely with data leads and business stakeholders to ensure that our solutions are fit for purpose and operate seamlessly.
This is a unique opportunity to grow your expertise in machine learning infrastructure and work with a passionate, high-performing team committed to bringing AI and GenAI solutions to enterprise at scale.
What will you do?
- Implement LLM agents and deploy them on hybrid cloud environment
- Design, develop, and implement AI-enabled data ingestion applications and machine learning systems
- Collaborate with peers to write, troubleshoot, enhance, and document high-quality code aligned with strategic initiatives and detailed requirements.
- Partner with internal teams across RBC to deliver software features, resolve issues, and implement bug fixes.
- Ensure seamless integration of machine learning applications into enterprise-grade infrastructure while maintaining high performance and reliability.
What do you need to succeed?
Must Have:
- Experience building and maintaining data ingestion pipelines
- In-depth knowledge of the Python application deployment lifecycle, including CI/CD processes.
- Hands-on experience deploying hybrid environments on on-premise and cloud platforms, including RedHat OpenShift and Azure.
- Proven proficiency in programming languages such as Python, and Java.
- Experience working with relational databases (e.g., MSSQL, PostgreSQL, MySQL), including expertise in profiling data and writing/optimizing SQL queries.
- Familiarity with non-relational databases e.g., Elasticsearch, MongoDB.
- Strong written and verbal communication skills, with the ability to create compelling presentations and effectively collaborate with stakeholders.
Nice-to-have:
- Experience with data analytics and monitoring platforms, such as Splunk, Dynatrace, Moog, PromQL, and Grafana Enterprise Metrics (GEM).
- Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or scikit-learn.
- Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, or MetaFlow.
- Experience working in agile teams using methodologies like Scrum or Kanban.
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.
- 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.
- Opportunities to do challenging work.
- Opportunities to build close relationships with clients. The expected salary range for this particular position is $110,000-$190,000, depending on your experience, skills, and registration status, market conditions and business needs.
RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
- Drives RBC’s high-performance culture
- Enables collective achievement of our strategic goals
- Generates sustainable shareholder returns and above market shareholder value #LI-POST
Job Skills
Big Data Management, Critical Thinking, Data Administration, Data Governance, Data Movement, Data Warehousing (DW), Information Capture, Knowledge Organization, Long Term Planning, Repository Tools
Additional Job Details
Address:
GOLDMAN SACHS TOWER, 30 HUDSON STREET:JERSEY CITY
City:
Jersey City
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-09-04
Application Deadline:
2025-09-18
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.