Director, DataOps Architecture & Enablement

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

In 2024, Workday launched an Enterprise Data and Analytics 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. The team has introduced a new, cloud based technical stack, a Data Product methodology anchored in the principles of Data Ops, an Active Data Governance methodology to manage the quality and discovery of data, and a series of modern analytics tools that facilitate discovery, analysis, visualization, machine learning, and AI. The team’s goal is to lead high value cross-functional data and analytics work and to establish and support the broader Workday analytics community by establishing modern, common ways of working, facilitating training and communication, and creating secure data and analytics brokering capability across business units.

About the Role

We are seeking a highly skilled Data Operations (DataOps) Architect to lead the design of technical and business processes associated with Workday’s cloud based data platform.  This would include coordinating with the Business Technology team to optimize the environment, the CI/CD process, and the platform integration to key governance and quality tools as well as downstream systems.  It also involves the definition of business processes to be used by Analytics Engineers, Data Analysts, and Data Scientists to leverage the infrastructure. The ideal candidate will have a strong understanding of data engineering principles, experience with modern data tools (Snowflake, dbt, Fivetran), and a passion for automation and efficiency. This role will be instrumental in building and scaling our data platform to support data-driven decision-making across the organization.

Responsibilities are as follows:

• Design and implement technology solutions and processes for the building of robust, scalable data pipelines using Snowflake, dbt, and Fivetran to ingest, transform, and load data from various sources.

• Establish and maintain a CI/CD framework for data pipelines to ensure rapid and reliable delivery of data products, including definition of tooling and branch strategy

• Develop and implement automation and orchestration tools to streamline data operations and reduce manual effort.

• Implement monitoring and alerting systems to proactively identify and resolve issues. Continuously tune data pipelines and infrastructure for optimal performance.

• Work closely with data engineers, data scientists, and business stakeholders to understand data needs and deliver solutions that meet business requirements.

• Lead the documentation of the Workday Analytics Methodology

• Design and implement a change program around DataOps adoption, including how to leverage Snowflake, dbt, Atlan, and Git to deliver repeatable data and analytics products

• Measure adoption and look for continuous improvement opportunities related to technology, process, and skills

About You

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