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Added 14 days ago
Staff Data Platform Engineer - Snowflake
Royal Bank of Canada
Toronto, ON
Full-time
Join RBC's Cloud Data Lake Platform (Snowflake) Engineering team as a Staff Data Platform Engineer, where you'll play a critical role in designing, building, and operating one of Canada's…
Added 11 days ago
Cybersecurity Engineer - 405 EN
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
…mindset. We're looking for a technically versatile Cybersecurity Engineer to work broadly across EDC's technology stack - an "inch deep, mile wide" generalist who elevates security posture…
Added 11 days ago
Cybersecurity Engineer - 405 EN
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
…mindset. We're looking for a technically versatile Cybersecurity Engineer to work broadly across EDC's technology stack - an "inch deep, mile wide" generalist who elevates security posture…
Added 11 days ago
Cybersecurity Engineer - 405 EN
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
…mindset. We're looking for a technically versatile Cybersecurity Engineer to work broadly across EDC's technology stack - an "inch deep, mile wide" generalist who elevates security posture…
Added 12 days ago
Senior Software Developer, Search AI
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
We are looking for a Senior Software Engineer to own and deliver complex modules within our Search Infrastructure within Autodesk Platform Services. You will work with system architects,…
Added 12 days ago
Technical Fleet Specialist
Government of Alberta
Edmonton, AB
…operational performance of the program while supervising fleet analytics and coordination functions. Combining advanced mechanical expertise with strategic business management, the position…
Added 12 days ago
Lead Site Reliability Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Added 14 days ago
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 12 days ago
Senior Software Engineer, AI-Native Data Warehouse
Juniper Square
Remote, Canada
Full-time · Remote
As a Senior Software Engineer at Juniper Square, you're a hands-on individual contributor who designs, builds, and operates production systems powering core workflows for institutional…
Added 12 days ago
Lead ML Platform Engineer
RBC
Calgary, AB
Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 12 days ago
Principal DataOps Engineer (DevOps for Data)
Workday
Toronto, ON · Canada, ON, Toronto
Full-time
In 2024, Workday launched the Enterprise Data and Analytics (ED&A) team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights…
Added 5 months ago
Machine Learning Engineer
Sanctuary AI
Vancouver, British Columbia
Full-time
Added 5 months ago
Staff Product Engineer, Canada
Ashby
Canada
Internship
Hi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. We’re looking for a versatile, persistent product engineer who’s not afraid to set up reusable building blocks across the stack…
Added 4 months ago
Senior Product Engineer
LTM
Ontario · Ontario, Canada
$75,163 to $79,609 USD / year
Full-time
Domain exposure eg Banking BFSI Analytics is an advantageStrong problemsolving and ownership mindset
Added 4 months ago
Senior Product Engineer
LTM
Ontario · Ontario, Canada
$75,163 to $79,609 USD / year
Full-time
Domain exposure eg Banking BFSI Analytics is an advantageStrong problemsolving and ownership mindset
Added 4 months ago
Senior Platform Engineer
Scotiabank
Toronto, Ontario
Full-time
GBME is searching for a Senior Platform Engineer who is a continuous learner and is eager to boost the capabilities of capital markets platforms. The successful candidate will have a strong…
Added 4 months ago
Backend Engineering Lead - Streaming & FinTech Infrastructure
VoxTonePRO
Remote, Canada
$130,000 to $150,000 USD / year
Full-time · Remote
This role is ideal for a senior engineer who wants to move beyond being an employee and become an early technical leader in a venture with category-defining ambitions. This is not your…
Added 4 months ago
AI Native Engineer, Growth Marketing
CookUnity
Toronto, Ontario
$190,000 to $220,000 CAD / year
Full-time
AI is no longer a roadmap item - it's the operating system for how modern growth teams win. We're hiring a AI Native Engineer, Growth Marketing to be the hands-on builder who embeds AI into…
Added 4 months ago
Senior Full-Stack Engineer - Production Planning
Afresh
Ontario
$136,000 to $205,000 CAD / year
Full-time
Build out our analytics and monitoring/observability to understand our system behavior and make informed decisions.
Added 4 months ago
Senior Product Engineer
LTM
Ontario · Ontario, Canada
$75,163 to $79,609 USD / year
Full-time
Domain exposure eg Banking BFSI Analytics is an advantageStrong problemsolving and ownership mindset
Added 4 months ago
Photonic Product Validation & Characterization Engineer
Inpho
Ottawa, Ontario
Full-time
Job Title: Photonic Product Validation & Characterization Engineer
Added 4 months ago
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
Full-time
Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable…
Added 4 months ago
NLP Research Fellow
FairwAI
Remote, Canada
Remote
We’re seeking a brilliant, mission-aligned NLP intern to join the team - our hospital equity analytics unit. You'll help us extract meaningful signals from real-world review data, such as:
Added 2 months ago
Software Engineer Fullstack
Dominion Dynamics
Ottawa, ON
Full-time
Build frontend interfaces and dashboards that surface critical system state and analytics for operators.
Added 2 months ago
Software Development Engineer, Route 53 DevEx and Console
Amazon
Vancouver, British Columbia
…workflow with a product manager and a designer, pair with another engineer on the API that powers it before lunch, and spend the afternoon prototyping an AI feature to help customers…

Workday

Principal DataOps Engineer (DevOps for Data)

Toronto, ON, Canada
Canada, ON, Toronto, Canada

Pay: Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $142,800 - $214,200 CADAdditional CAN Location(s) Base Pay Range: $142,800 - $214,200 CAD
Job type: Full-time
Experience: 12+ years of experience in managing and scaling a suite of interrelated data platform products, cluster configurations, and CI/CD networks at an enterprise level.
Posting language: English
Posted: Sep 10, 2026

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Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

In 2024, Workday launched the Enterprise Data and Analytics (ED&A) team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data-led innovation across the enterprise.

About the Role

As a Principal DataOps Engineer (P5), you serve as a preeminent technical authority, strategic leader, and primary architect of Workday’s data platform program execution and methodology deployment. Operating at the highest tier of individual contribution, you define the long-term vision, core execution standards, and multi-quarter roadmaps for a mission-critical infrastructure portfolio, ensuring our platforms are structurally positioned to support Workday's hyper-growth trajectory. You resolve high-level technical ambiguity, mitigate existential architecture risks, and lead complex multi-team transformations to deliver data-as-a-product assets at scale. You sit at the center of Workday's AI-forward operating model, defining and governing the structural use of DataOps, Data Product, and Active Data Governance frameworks across the enterprise ecosystem. You provide the overarching operational blueprints for embedding advanced AI capabilities into our continuous delivery lines, building language model solutions and automated workflows that safely power autonomous workloads. Concurrently, you lead the transition to an AI-first workforce, designing division-level agent networks inside Sana and Gemini environments to automate routine tasks, manage technical debt, and multiply organization-wide delivery velocity.

Key Responsibilities

Technical Delivery: Serve as the preeminent technical authority defining the long-term vision, core execution standards, and multi-quarter architecture blueprints for a mission-critical enterprise cloud infrastructure portfolio. Govern global platform administration paradigms and Infrastructure as Code (Terraform) architecture standards and, CICD pipelines, mentoring senior engineers and establishing foundational infrastructure modules across the organization
Knowledge Management: Establish and govern function-wide knowledge synchronization standards and "Documentation as Code" paradigms across the global DevOps and Analytics Engineering job families to ensure enterprise architectural clarity
Incident Response & Operational Resilience: Mitigate existential infrastructure and architecture risks across the global enterprise. Design high-scale zero-trust data reliability parameters and predictive platform telemetry layers to guarantee unbroken data platform uptime during hyper-growth cycles
Agile Operational Facilitation: Sponsor and chair cross-functional technical review boards to align technical direction across competing business segments. Drive complex multi-team infrastructure transformations, navigate platform migration blocks, and manage capital resource planning
ED&A Methodologies: Establish and govern the core operational blueprints for embedding DataOps and Active Data Governance principles directly into our master software continuous delivery pipelines
AI Productivity: Pioneer the implementation of an AI-first workforce strategy by building division-level agent networks and automated scripts natively inside Cursor IDE, Sana, and Gemini tracks to automate code refactoring, system validation, and portfolio tracking at an enterprise scale

About You

Basic Qualifications:

12+ years of professional technical leadership experience in DataevOps, DevOps, cloud automation, program management, or platform engineering tracks within enterprise data and analytics.
12+ years of experience in managing and scaling a suite of interrelated data platform products, cluster configurations, and CI/CD networks at an enterprise level.
12+ years of experience performing within leadership presence with a history of influencing VP and SVP-level stakeholders to drive technical consensus and cross-functional organizational pivots.

Other Qualifications:

Modern Data Stack & Cloud Foundations: Expert-level technical command over high-scale distributed data platforms, capital asset cluster budgeting, modern warehouse layouts, Infrastructure as Code (Terraform), and hyperscale pipeline orchestration boundaries.
Hands-on experience or familiarity with GitHub Actions, Snowflake, Fivetran, Sigma, and Atlan (or similar enterprise data platforms) is preferred
AI-Native Development & Ops: Master-level capability directing AI-forward validation and deployment frameworks, setting branch benchmark policies for autonomous code generation loops, and designing division-level agent networks to eliminate manual infrastructure workflows
Data Governance & Observability: Comprehensive expertise utilizing federated active metadata layers and predictive data trust telemetry to hardcode compliance logic natively into global platform environments and manage complex asset lifecycles
Operational Communication & Collaboration: Superior capacity to successfully navigate high-pressure corporate environments and complex technical landscapes to secure functional consensus across competing business units, acting as an active change agent and thought leader for the DevOps and engineering communities

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $142,800 - $214,200 CADAdditional CAN Location(s) Base Pay Range: $142,800 - $214,200 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email [email protected], as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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More about this job

Responsibilities

The Principal DataOps Engineer will define the long-term vision and architecture for enterprise data platforms while governing global infrastructure standards. They will also lead the transition to an AI-first workforce by implementing agent networks and automated workflows to enhance operational velocity.

Requirements

Candidates must have 12+ years of professional technical leadership experience in DataOps, DevOps, or platform engineering within enterprise environments. Expert-level command of modern data stacks, cloud infrastructure, and the ability to influence senior stakeholders are essential.

Skills

DataOps
DevOps
Cloud automation
Platform engineering
Infrastructure as Code
Terraform
CI/CD
Data governance
AI-native development
Distributed data platforms
Snowflake
Fivetran
Sigma
Atlan
GitHub Actions
Strategic leadership

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

DataOps
DevOps
Cloud automation
Platform engineering
Infrastructure as Code
Terraform
CI/CD
Data governance
AI-native development
Distributed data platforms
Snowflake
Fivetran
Sigma
Atlan
GitHub Actions
Strategic leadership
Enterprise data
Analytics engineering
Zero-trust
Telemetry
Cursor IDE
Sana
Gemini
Active Data Governance
Data-as-a-product
Technical debt
Automation
System validation
Portfolio tracking
Cloud infrastructure

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