Data Engineer Lead
: Job Details :

Job Description

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:

• 5+ years of professional experience in Python development, including designing, implementing, and maintaining production-grade codebases on Git
• 3+ years of expertise in building RESTful APIs using modern Python frameworks (e.g., Flask, FastAPI, or Django)
• 3+ years of hands-on experience deploying machine learning (ML) and data-intensive applications on cloud platforms (RedHat OpenShift or Microsoft Azure)
• 2+ years of experience reviewing pull requests (PRs) with a focus on ensuring the quality of data-heavy logic and ML-related frameworks
• 5+ years of experience with relational databases (e.g., MSSQL, PostgreSQL, MySQL), including demonstrated proficiency in profiling large datasets, writing complex SQL queries, and optimizing query performance
• 2+ years of experience working with non-relational databases (Elasticsearch and MongoDB), with a strong understanding of their use cases and best practices

Nice-to-have:

• Proven experience in designing and maintaining complex Grafana dashboards, ensuring their reliability and performance in production environments
• Experience with data analytics and monitoring platforms, including Splunk, Dynatrace, Moog, PromQL, and Grafana Enterprise Metrics (GEM), with a focus on leveraging these tools for actionable insights and system optimization
• Strong familiarity with leading machine learning frameworks, such as PyTorch, and scikit-learn, with hands-on experience applying them to real-world data
• Expertise with MLOps orchestration tools, including AirFlow or MetaFlow, to streamline and automate machine learning

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:

2025-10-02

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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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