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Added 3 months ago
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Agent Deployment Engineer - Spanish Speaking
Decagon
Canada
- $150,000 to $200,000 CAD / year
- Full-time
Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable…
Added 3 months ago
R
Staff Software Engineer
RBGlobal
Burnaby, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…
Added 3 months ago
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Senior Solutions Consultant - Open Data Platform
Acceldata
Kitchener, ON
- Full-time
This is a hands-on role with a consultative position. You'll be equal parts architect, engineer and trusted advisor: designing the target-state cluster, executing the build, and translating…
Added 1 month ago
AW
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon Web Services (AWS)
Toronto, ON
- Full-time
5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and…
Added 2 months ago
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AI Engineer
Insight
Remote, Canada
- Full-time
- Remote
As a Solutions Architect, you will design and implement production-grade AI agents and multi-agent systems that use tools, call APIs, reason over enterprise data, and power modern mobile,…
Added 1 month ago
BP
Senior Middleware Infrastructure Architect
BNP Paribas
Montreal, QC
- Full-time
We are seeking an experienced Senior Middleware Infrastructure Architect to design, build, and operate high‑performance, cloud native platforms based on OpenShift/Kubernetes and…
Added 3 months ago
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Directeur.trice principal.e, opérations de l'expérience client // Senior Director, Customer Experience Operations
SSENSE
Montreal, QC
- Full-time
Added 1 month ago
AG
Lead AI Engineer
Altus Group
Toronto, ON
- Full-time
Reporting to the Principal Architect, we are hiring a Lead AI Engineer to help shape and build the next generation of AI capabilities across the Altus Group platform ecosystem. As our new…
Added 3 months ago
TG
Systems Engineer, Patch Management (12 month contract)
TMX Group
Toronto, Ontario
- $110 to $120 CAD / hour
- Full-time
We are seeking a Systems Engineer to join our team for a 12-month contract. In this role, you will be responsible for architecting, testing, and executing enterprise-wide software updates…
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product.…
Added 3 months ago
UM
Staff Frontend Engineer
US Mobile
Toronto, Ontario
- Full-time
We’re looking for a Senior Front-End Engineer to join our growing engineering team as we scale from 14 to 24 developers. This is a high-impact, high-ownership role where you’ll architect…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to…
Added 5 months ago
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Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
FairwAI is building the next-generation compliance platform to detect and prevent algorithmic bias in real-world systems - in travel & hospitalityl. Our goal is to ensure AI not only…
Added 1 month ago
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon
Toronto, ON
- 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and…
Added 1 month ago
W
Principal DataOps Engineer (DevOps for Data)
Workday
Toronto, ON · Canada, ON, Toronto
- Full-time
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…
Added 6 months ago
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Backend Engineering Lead - Streaming & FinTech Infrastructure
VoxTonePRO
Remote, Canada
- $130,000 to $150,000 USD / year
- Full-time
- Remote
We are seeking a serious senior backend leader who can help architect, build, and scale the core technical infrastructure behind the product. This is a founding board role.
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
FairwAI is building the next-generation compliance platform to detect and prevent algorithmic bias in real-world systems - from hospitality to healthcare. Our goal is to ensure AI not only…
Added 6 months ago
F
NLP Research Fellow
FairwAI
Remote, Canada
- Remote
FairwAI is building the world’s first bias accountability infrastructure - a compliance platform that detects systemic discrimination in real-world environments like healthcare. We’re…
Added 1 month ago
PG
Senior RPA Engineer
Peoples Group
Vancouver, BC · Toronto, ON · AB
- Full-time
You are a senior software engineer who happens to specialize in automation, not a developer who just builds bots. You thrive in environments that require both technical mastery and…
Added 3 months ago
PG
Senior Cloud Security Engineer, Information Security
Peoples Group
Vancouver, British Columbia · Toronto, Ontario · Alberta
- Full-time
We’re hiring a Senior DevSecOps Engineer with 8–10+ years of experience, deep multi-cloud expertise (AWS + Azure), strong Terraform and the ability to drive technical strategy across a…
Added 1 month ago
GT
Director, Technology Operations
Goway Travel
Toronto, ON
- Full-time
…platforms Goway sells and services travel on: our reservations platform, the infrastructure it runs on, the supplier, air and distribution integrations it depends on, and the automation and…
Added 1 month ago
D
Senior Product Engineer I - Automation
Docebo
Remote, Canada
- $102,800 to $137,000 CAD / year
- Full-time
- Remote
Step into the driver's seat of the high-octane engine that powers Docebo’s enterprise automation platform! In this role, you will architect, build, and scale business-critical backend…
Added 3 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and…
Added 1 month ago
Senior Full Stack Software Engineer – Acquisitions and Activation (Auth0)
Okta
Toronto, ON
Here at Auth0 we’re focused on securing the world’s identities so innovators can innovate. We’re currently hiring a senior Full Stack Software Engineer to join our Acquisitions and…
Added 3 months ago
M
Senior Software Engineer
Morningstar
Toronto, Ontario
- Full-time
As a Senior Software Engineer, you will work closely with product owners, engineering teams, and technical leads on our next generation data feed platform. This role is primarily focused on…

Workday

Principal DataOps Engineer (DevOps for Data)

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

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 · Full-time

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Job details

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

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 accommodations@workday.com, 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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