At a Glance
- Tasks: Lead the design and execution of our data platform, driving innovation and collaboration.
- Company: Join a Fortune 500 company shaping the future of work with AI technology.
- Benefits: Competitive salary, flexible work options, and a supportive culture focused on growth.
- Other info: Be part of a team that values integrity, empathy, and shared enthusiasm.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technology.
- Qualifications: 12+ years in DataOps or DevOps with strong leadership and technical skills.
The predicted salary is between 142800 - 214200 $ per year.
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. Our culture is rooted in integrity, empathy, and shared enthusiasm. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. 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.
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. 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.
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.
- Knowledge Management: Establish and govern function-wide knowledge synchronization standards and "Documentation as Code" paradigms across the global DevOps and Analytics Engineering job families.
- Incident Response & Operational Resilience: Mitigate existential infrastructure and architecture risks across the global enterprise.
- Agile Operational Facilitation: Sponsor and chair cross-functional technical review boards to align technical direction across competing business segments.
- 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.
About You:
- Basic Qualifications: 12+ years of professional technical leadership experience in DataOps, DevOps, cloud automation, program management, or platform engineering tracks within enterprise data and analytics.
- Other Qualifications: 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.
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. This role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.
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.
Principal DataOps Engineer in Toronto employer: Workday
At Workday, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior Product Data Scientist, you will not only have the opportunity to drive impactful business decisions but also benefit from continuous professional development and a supportive environment that values your contributions. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a network of like-minded professionals, making Workday an exceptional place to grow your career.
