DataOps Engineer, Workday
DevOps for Data
CA$95.2-142.8k
3 days a week in office
Enterprise AI platform for managing HR and finance
Open for applications
Enterprise AI platform for managing HR and finance
1001+ employees
Open for applications
CA$95.2-142.8k
3 days a week in office
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- The ideal candidate will have a strong understanding of DataOps/DevOps principles, experience on teams that manage data as a product and leverage modern DataOps tools, and a passion for automation and efficiency
- 4+ years of hands-on experience implementing and managing cloud-native data platforms and solutions (2+ years with Masters Degree)
- 4+ years of practical understanding and application of DataOps (DevOps for data) principles and methodologies
- 4+ years of hands-on experience implementing and maintaining robust CI/CD pipelines for data platforms and products
- Proficient in deployment strategies, environment management, and testing best practices for data products, with a focus on automation and quality
- Experience with core data platforms and orchestration tools, such as Snowflake, dbt, Airflow, & FiveTran, for the purpose of integrating these tools into CI/CD pipeline automations
- Familiarity with data modeling, ETL/ELT processes, and data warehousing best practices
- Technical problem-solving skills at the implementation level, including debugging failed tests and CICD pipeline issues
- Passion for automation and a track record of implementing solutions to improve efficiency and reduce manual effort
- Experience working with agile methodologies and their application to the implementation of DataOps/DevOps tasks
- Excellent communication and social skills, with the ability to collaborate effectively with technical and non-technical team members
- Familiarity with data cataloging, data lineage, and data quality solutions (e.g., Atlan, Acceldata) is a plus
- Familiarity of data security best practices and ability to implement security measures, including security testing within pipelines
- Open to 50% reporting to our Toronto office
What the job involves
- We are seeking a highly skilled DataOps Engineer to help optimize our data cloud-based platform by implementing CI/CD automation that drives technical and business processes
- This includes coordinating with IT and Analytics Engineering, implementing the CI/CD for data workflows, and helping to establish critical integrations between platforms to power those CI/CD workflows
- This role will be instrumental in building and scaling our data platform to support data-driven decision-making across the organization
- Implement and maintain DataOps CI/CD pipelines for rapid, reliable infrastructure and data product deployment, encompassing automated environment provisioning and management, testing, and linting stages
- Implement and optimize monitoring and alerting systems, especially in CI/CD pipelines, to proactively identify and resolve issues
- Configure ED&A’s data platform with industry best practices, robust security standards, & data governance
- Collaborate across the organization, including with IT and Analytics Engineering
- Implement test-driven development principles in CI/CD pipelines specialized to the data space
- Implement DataOps CI/CD best practices in CI/CD pipelines via integration with ED&A’s data tech stack (Snowflake, dbt, Atlan, Acceldata, Airflow, and GitHub)
- Measure adoption and look for continuous improvement opportunities related to technology, process, and skills
- Drive and, to the extent possible, automate the creation of detailed documentation for implemented CI/CD pipelines and operating procedures
- Implement automation and performance optimization to enhance ED&A data platform capabilities
- Continuously tune developed solutions for optimal performance
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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