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Added 2 months ago
Senior Software Engineer, AWS
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
The Senior Engineer, AWS is responsible for designing, developing, and maintaining Gore Mutual's Amazon Connect contact center platform and its supporting AWS services (Lambda, Lex,…
Added 1 month ago
Senior Security Engineer, AI & DevSecOps
Atlas HXM
Canada
Atlas HXM is the global workforce platform built on compliance. We help companies determine how to engage each member of their workforce and then execute with accountability built in -…
Added 2 months ago
Directeur.trice principal.e, opérations de l'expérience client // Senior Director, Customer Experience Operations
SSENSE
Montreal, QC
Full-time
…expérience éprouvée dans la gestion de flux de travail Agile/DevOps multi-équipes (par ex., SAFe) et de l'architecture des…
Added 20 days ago
Software Development Engineer II
Remitly
Burnaby, BC
Full-time
As a Fullstack Software Engineer, you will focus on driving innovation and expanding our new, next-generation Customer Success platform by architecting new workflows and launching entirely…
Added 10 days ago
AI QA Automation Engineer
Synechron
Toronto, ON
$100,000 to $110,000 CAD / year
Full-time
We are looking for an Automation Engineer - a developer-first, agentic thinker who will build the intelligent systems that keep Sophis, strategic front-to-back trading platform, running at…
Added 4 months ago
Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
$110,000 to $130,000 CAD / year
Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 4 months ago
Senior Backend Engineer (.NET & AI/ML)
Zonda
Montreal, Quebec · Greater Montreal Metropolitan Area
$110,000 to $130,000 CAD / year
Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 4 months ago
Senior Backend Engineer (.NET & AI/ML)
Zonda
Vancouver, British Columbia
$110,000 to $130,000 CAD / year
Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 11 days ago
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon
Toronto, ON
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Added 11 days ago
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 5 months ago
Principal Software Engineer - AI
Boomi
Vancouver, British Columbia
Full-time
…anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and…
Added 5 months ago
AI Engineer
Softrip
Remote, Canada
$110,000 to $150,000 USD / year
Full-time · Remote
Softrip is transforming from a traditional SaaS travel technology company into an AI-first platform - not by bolting AI features onto existing software, but by rethinking what the product…
Added 5 months ago
Technical Support Engineer
Martell Media
Vancouver, British Columbia
Full-time
We’re hiring a full-time Technical Support Engineer to own the customer support queue end to end. The majority of tickets fall into a few recurring patterns - API key and billing issues…
Added 5 months ago
Technical Support Engineer
Martell Media
Peachland, British Columbia
Full-time
We’re hiring a full-time Technical Support Engineer to own the customer support queue end to end. The majority of tickets fall into a few recurring patterns - API key and billing issues…
Added 12 days ago
Data Engineer
CANADIAN AIR TRANSPORT SECURITY AUTHORITY
Ottawa, ON
The Data Engineer is responsible for analyzing, developing, implementing, and supporting CATSA’s business data solutions such as data engineering, Extract, Transform, Load (ETL)…
Added 12 days ago
Data Engineer
CANADIAN AIR TRANSPORT SECURITY AUTHORITY
Ottawa, ON
The Data Engineer is responsible for analyzing, developing, implementing, and supporting CATSA’s business data solutions such as data engineering, Extract, Transform, Load (ETL)…
Added 5 months ago
Senior Full-Stack & DevOps Engineer
Truss
Remote, Canada
$150,000 to $250,000 USD / year
Full-time · Remote
We need a Senior Full-Stack & DevOps Engineer who ships fast, thinks in systems, and treats infrastructure as one part of their toolkit - not their whole identity.
Added 2 months ago
Senior AI Platform Operations Engineer
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
The Senior AI Platform Operations Engineer is accountable for the reliability, operability, and controlled enablement of the organization’s AI platform.
Added 11 days ago
Forward Deployed Engineer
Synechron
Montreal, QC
Full-time
Direct experience with Microsoft Fabric, Azure AI Foundry, Microsoft Copilot Studio, Power Platform, or comparable enterprise data and agent-building platforms.
Added 13 days ago
Lead Data and AI Quality Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Perform edge case testing and failure scenario analysis for AI agent decision-making processes
Added 12 days ago
Associate Director – AI Engineer, QTS Architecture
RBC
Bedford, QC
Full-time
We're building the agentic platform that will let every development team at RBC execute AI driven SDLC - our spec-driven, agent-assisted software delivery methodology - at scale. This is a…
Added 11 days ago
Generative AI Engineer
Soho Square Solutions
Montreal, QC
Contract
We are seeking a Cloud & AI Engineer to design, build, and maintain enterprise-scale multi-cloud infrastructure across Azure and AWS while enabling cloud-native AI solutions and agentic AI…
Added 1 month ago
AI Engineering Lead, Product Analytics
Thomson Reuters
Remote, Canada
Full-time · Remote
…dependencies the work runs on, including data lake access and platform…
Added 26 days ago
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia
Montreal, QC · Canada - Quebec - Montreal
Full-time
Added 2 months ago
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia
Montreal, Quebec · Canada - Quebec - Montreal
Full-time

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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