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Data Analytics Platform Engineer Jobs in Ontario

... and data engineering practices, and cutting-edge applied AI research. Our work is rooted in ... We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. * We offer ...

Database Platform Engineer

Toronto, ON · On-site

CA$81K - CA$115K/yr

Within TD Technology, the Treasury Analytics Group (TAG) supports Treasury and Balance Sheet Management (TBSM) by engineering the systems, data platforms, and infrastructure used to measure, monitor ...

... analytics, audience segmentation, personalization, marketing activation, and AI-driven decision ... In this role, you will own and evolve critical customer data platforms and products, including ...

The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology ... Analyze, triage, and resolve platform issues promptly to achieve SLOs and platform reliability ...

Event Exchange will have external applications produce data to it, is able to ingest data from ... You will provide system analysis, object-oriented design / programming, technical documentation ...

University degree in Business, Engineering, Commerce, Mathematics, or related quantitative discipline * 4+ years of experience in business intelligence, analytics, and/or data engineering

As Principal Engineer - GTB Platform (IC Role) You will own and deliver the foundational ... Strong expertise in data modeling, including graph-based data models * Experience with Microsoft ...

As a member of a dynamic, fast-paced team, this role demands strong data architecture and engineering expertise, advanced analytics platform leadership, exceptional communication skills, strong work ...

Data Platform Engineering Manager

Toronto, ON · On-site

CA$115K - CA$163K/yr

The Data Platform Engineering Manager role is responsible for designing, building, and operating ... Azure Data Engineer Associate * AWS Data Analytics or Data Engineering Certification * Google ...

Showing results 41-60

Data Analytics Platform Engineer information

What is a data analytics platform engineer?

A Data Analytics Platform Engineer is a technology professional who designs, builds, and maintains the infrastructure that enables organizations to collect, store, process, and analyze large volumes of data. They work with various data platforms, cloud services, and analytics tools to ensure data can be accessed efficiently and securely by analysts and data scientists. Their responsibilities include integrating different data sources, optimizing data pipelines, ensuring scalability and performance, and implementing best practices for data governance and security. This role is vital for organizations aiming to leverage data-driven insights to make informed business decisions.

What are the key skills and qualifications needed to thrive as a data analytics platform engineer?

To thrive as a Data Analytics Platform Engineer, you need expertise in data engineering, cloud platforms, and programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with technologies like Apache Spark, Hadoop, SQL/NoSQL databases, and cloud services (AWS, Azure, or GCP) as well as certifications in these areas is highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities are essential for building robust, scalable analytics solutions and ensuring seamless data processing to drive business insights.

What are some common challenges faced by data analytics platform engineers when integrating new data sources?

Data Analytics Platform Engineers often encounter challenges such as ensuring compatibility between diverse data formats, maintaining data quality during ingestion, and managing data security and privacy concerns. Integrating new sources may also require updating data pipelines, coordinating with data owners, and troubleshooting connection or schema issues. Effective communication with stakeholders and thorough testing are essential to minimize disruptions and maintain platform reliability.

What is the difference between Data Analytics Platform Engineer vs Data Engineer?

AspectData Analytics Platform EngineerData Engineer
Primary FocusBuilding and maintaining analytics platforms and tools for data analysisDesigning, constructing, and maintaining data pipelines and infrastructure
Skills & CertificationsData platform tools, SQL, cloud services, analytics frameworksETL processes, database systems, programming (Python, Java), cloud platforms
Work EnvironmentCollaborates with data analysts and data scientistsWorks closely with data engineers and software developers
Industry UsageUsed in organizations focusing on data analytics and BIUsed across industries for data infrastructure and pipeline development

While both roles involve working with data infrastructure, Data Analytics Platform Engineers focus on creating platforms for data analysis, whereas Data Engineers build the pipelines and systems that enable data flow and storage. Understanding these differences helps in choosing the right career path or job fit.

What cities in Ontario are hiring for Data Analytics Platform Engineer jobs?

Cities in Ontario with the most Data Analytics Platform Engineer job openings:

Infographic showing various Data Analytics Platform Engineer job openings in Ontario as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 96% In-person, and 4% Remote job distribution.

Senior Platform Engineer

Toronto, ON

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees

Full-time

Re-posted 5 hours ago


Job description

Job Description

Are you interested in working as a Platform Engineer on the WMTS- Data Platform Infrastructure Team in Technology & Operations at the Royal Bank of Canada?

RBC`s WMTS- Data Platform Infrastructure Team is responsible for the communication, collaboration, integration, automation, and providing a range of operational, business, technical, and system support & solutions to address business, sponsor & stakeholder needs and resolve day-to-day issues.

This role will provide expert technical and business support, hardware and operating system support and system integration support for existing platforms. You will collaborate with development, operations, and quality assurance teams on projects, upgrades and resolve technical issues while adhering to security compliance and following best practices. In addition, you will collaborate with upstream/downstream system consumers and services providers, 3rd party vendor partners, and operation partners.

What will you do?

  • Provide day to day support for Wealth Management Data applications platforms including Linux, Windows and Cloud (public & private)

  • Take ownership of security patches and updates for operating systems and applications to ensure DMI platforms meet RBC security and compliance standards.

  • Perform upgrades to the operating system and middle-tier applications to ensure regulatory compliance and mitigate risks.

  • Strong problem-solving skills to diagnose and resolve errors and issues reported by users.

  • Setup monitoring and alerts for the Data platforms to ensure stability and resiliency.

  • Leads Platform initiatives from end to end to ensure initiative will be completed successfully.

  • Create, maintain, and update knowledge base documentation for the supported systems. This includes documenting troubleshooting steps, and best practices for issue resolution. Explore opportunities to leverage automation tools and technologies to enhance support capabilities.

  • Actively participate in projects related to technology upgrades, system integrations, and process enhancements. Perform other duties as assigned by management, contributing to the overall success of the WMTS- Data Platform Infrastructure Team and the organization.

What do you need to succeed?

Must-have:

  • Advanced knowledge and hands-on experience with OpenShift, Linux or Windows environments.

  • Public and Private cloud knowledge, skills and experiences with Azure, AWS & S3.

  • Excellent interpersonal and highly developed communication skills (verbal and written)

  • Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment.

  • Strong problem-solving and troubleshooting skills. Ability to balance multiple priorities.

  • Knowledge of programming and scripting languages such as PowerShell, Shell, JavaScript, etc. Database knowledge an asset.

Nice-to-have:

  • Solid understanding of general networking & SAN principles.

  • Experience with automating manual processes.

  • Familiarity with SSL certificates, implementation, operation and utilization.

  • Financial institution knowledge is an asset.

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 and production day to day support through coaching and managing opportunities.

  • Ability to make a difference and lasting impact.

  • Work in a dynamic, collaborative, progressive, and high-performing team.

  • Opportunity to challenge the status quo and improve existing solutions.

  • Opportunity to take on progressively greater accountabilities.

#LI-POST

Job Skills

Apache Kafka, DevOps, Elk Stack, IBM MQ, Linux Shell Scripting, Microsoft SQL Server, Microsoft Windows, Red Hat OpenShift, Structured Query Language (SQL), UNIX AIX

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-11

Application Deadline:

2026-10-10

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME