Director, Data Engineering

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.

About the Team

The Machine Learning (ML) Team builds and supports the infrastructure for Workday’s ML services. The team delivers data driven products across HR, Finance, Planning, Recruiting, Learning, Search, and more. We enjoy the challenges of re-imagining a modern infrastructure to handle our ever growing scale.

About the Role

Calling all data engineering leaders!

Are you passionate about cutting-edge Machine Learning and its potential to revolutionize data products? Do you thrive in a fast-paced, collaborative environment? If so, our team wants you!

Your Mission:

• Own the Charge: Lead our Data Platform Team, driving innovation in data ingestion and management within our secure machine learning development environments.

• Build and Optimize: Design and oversee large-scale data ingestion pipelines, ensuring data integrity and security.

• Collaborate: Partner with product teams, data scientists, and engineers to drive innovation and deliver outstanding results.

• Mentor and Encourage: Foster a culture of technical excellence, empowering your teams to reach new heights.

Why Workday?

• Work-Life Balance: We believe in a healthy balance between work and personal life.

• Financial Stability: Join a market leader recognized for its stability and growth.

• Best Company Culture: Experience an encouraging and collaborative environment where innovation thrives.

About You

Basic Qualifications

• 7+ years of leadership experience in software or data engineering 

• Experience building large-scale data platforms (Kafka, Flink, AWS, Spark)

• Experience with data security, compliance, and regulatory requirements

Other Qualifications

• Experience in a machine learning or AI-driven organization.

• Expertise in managing streaming data pipelines at scale.

• Strong understanding of MLOps / DevOps / CloudOps

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: $186,400 - $279,600 CAD

Additional US Location(s) Base Pay Range: $190,000 USD - $348,000 USD

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!