Principal DevOps Architect

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

The Enterprise Data Services (EDS) organization is a multifaceted and evolving team that is orchestrating Workday’s growth through trusted data excellence, innovation, and architectural thought leadership. Equipped with an array of skills in data science, engineering, and analytics, this team orchestrates the flow of data across our growing company while ensuring data accessibility, accuracy, and security. With a steadfast focus on innovation and efficiency, Workmates in EDS enable the transformation of sophisticated data sets into actionable insights that fuel strategic decisions and position Workday at the forefront of the technology industry.

About the Role

Workday is seeking a Principal DevOps Architect to be a driving force in strengthening our DevOps culture within our Data Platforms team. You will be a key leader in enhancing automation, observability, and continuous improvement across these critical areas, with a focus on building and scaling robust and efficient Data Platforms. This is a critical role that requires deep technical expertise in data and AI technologies, strong leadership skills, and a passion for driving innovation and efficiency in our Data, Analytics and ML/AI initiatives.

Responsibilities:

The Principal DevOps Architect will be responsible for (but not limited to) the following:

Data Leadership

• Define and champion the vision for a modern, scalable, and secure data platform, incorporating cloud-native technologies and data mesh concepts. 

• Champion effective Data Platform principles and practices, ensuring automated data pipelines, CI/CD, and robust monitoring for efficient operations. 

• Design and implement scalable Data and ML/AI platforms to accelerate the development, deployment, and management of these solutions in production. 

• Establish and implement architectural standards, best practices, and Infrastructure as a Code for data and ML/AI infrastructure, promoting automation and CI/CD. 

• Lead multi-functional collaboration between data scientists, platform engineers, data engineers, operations, and security teams. 

• Stay abreast of the latest data and AI technologies, proactively identifying and evaluating new tools and methodologies to improve efficiency and performance.

CI/CD Pipeline Architecture for Data Platforms

• Partner with engineering, and product development teams to understand their needs and translate them into efficient CI/CD pipelines.

• Own the selection, integration, and optimization of DevOps tools and technologies specific to data and ML/AI, including: 

  • CI/CD platforms (e.g., Jenkins, GitLab CI/CD,) with integrations for data and ML/AI workflows.

  • Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) for provisioning and managing infrastructure.

  • Configuration management tools for automating the configuration of data platforms.

  • Containerization technologies (e.g., Docker, Kubernetes) for deploying and scaling data and ML/AI applications.

DevOps Standards & Best Practices

• Establish and implement architectural standards, guidelines, and frameworks specific to data workloads, ensuring consistency and quality across all projects and systems.

• Promote a culture of automation, continuous integration, continuous delivery, and continuous deployment (CI/CD) throughout the data platforms.

• Stay up-to-date with the latest DevOps trends and technologies relevant to data and ML/AI, proactively proposing and evaluating new tools and methodologies to improve efficiency and performance.

About You

Business Qualifications

• 12+ years of hands-on experience in DataOps, MLOps, cloud architecture, DevOps, or related fields, with a proven track record of delivering large-scale enterprise data and ML/AI solutions.

• 5+ years of experience with CI/CD pipelines, IaC tools, configuration management tools, containerization technologies, and infrastructure automation, with a focus on data and ML/AI workloads.

• 7+ years of experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and its suite of products, including data and ML/AI services.

• 4+ years of experience with data platforms (Snowflake, Databricks, or similar technologies).

• Bachelor’s degree in Computer Science, Engineering, Business, or a related field. (Advanced Degree in Data Analytics, AI, Computer Science - is a plus) 

Other Qualifications

• Proven ability to establish best practices in a DevOps environment and lead cross-functional teams, particularly within data and AI domains.

• Strong understanding of data management principles, data governance, and data security best practices.

• Strong understanding of software development lifecycles and methodologies (Agile, Waterfall, etc.).

• Experience working collaboratively with third-party vendors as well as data scientists, ML engineers, software engineers, product development, and cloud operations teams.

• Excellent communication, interpersonal, and leadership skills with the ability to influence and mentor others.

• Problem-solving and troubleshooting in technical environments.

• Ability to work in a fast-paced, cross-functional team environment.

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.Toronto

Primary CAN Base Pay Range: $110,500 - $165,700 CAD

Additional CAN Location(s) Base Pay Range: $110,500 - $165,700 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.

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