Sr. Data Engineer

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 Data Services organization in Business Technology takes pride in enabling data driven business outcomes to orchestrate Workday’s growth through trusted data excellence, innovation and architecture thought leadership. The team is responsible for developing and supporting Data Services, Data lakehouse, Data vault, Business Intelligence, Data Quality and Advanced Analytics/ML for multiple business functions including Sales, Marketing, Services, Support and Customer Experience. We use leading modern cloud platforms like AWS, Tableau, Snaplogic, MongoDB, Snowflake in addition to the native AWS technologies like Spark, Airflow, Redshift, Sagemaker and Kafka.

About the Role

Our Business Technology Data Services team is currently looking for a Sr. Data Engineer that enables self-service business intelligence and advanced analytics teams (Marketing, Sales, Finance and Services) to explore outliers, build scalable data lakehouse and data vault systems that differentiate us from our competition. You will work closely with other team members like enterprise architects, domain solution architects, technical leads, and business analysts to understand what the business is trying to achieve, move data from source to target, and craft efficientdata models. This hands-on technical role demands excellent knowledge and can demonstrate standard processes in the industry. 

An ideal candidate will have extensive knowledge of the modern data platforms (data lakehouse, data vault, data mesh) and should be able to craft database solutions using the latest tools and Open-source frameworks.

About You

Basic Qualifications

• 8+ years of experience building scalable data solutions for very large scale Data Lakehouse, Data Warehouse, Data Quality, Data Analytics/BI, Data Enrichment, Data Integration/ETL, Data Security, Data Governance and Data Engineering Projects.

• 8+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.

• 5+ years experience working with Snowflake cloud data warehouse and/or Databricks lake houses

• 5+ years of experience in one or more programming languages for processing of large data sets, such as Python and/or Scala.

Other Qualifications

• Build reliable, efficient, testable, & maintainable data pipelines.

• Design and Develop data pipelines using Metadata driven ETL Tools and Open-source data processing frameworks.

• Solid understanding of database structure systems and data mining. Ability to build enterprise data models, star and snowflake schemas for data consumption.

• Experience with SQL and NoSQL databases. Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs.

• Expertise in working in a high paced Agile team with excellent verbal communication and collaboration skills. Should be familiar with Jira and other collaboration tools.

• Ability to mentor, guide, and lead engineers in the team.

• Excellent organizational and analytical abilities.

• Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) for automating infrastructure provisioning and management

• Hands-on experience with source version control, continuous integration and experience with release/change management delivery tools.

• Experience developing low latency data processing solutions like AWS Kinesis, Apache Kafka, Apache Spark Stream processing and other Data Integration tools.

• Bachelor’s degree or higher in Computer Science or Engineering or related.

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: $112,900 - $169,400 CAD

Additional CAN Location(s) Base Pay Range: $112,900 - $169,400 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!