Principal Data Architect, Workday
Data & AI Platforms
CA$112.4-168.6k
Enterprise AI platform for managing HR and finance
Job no longer available
Enterprise AI platform for managing HR and finance
1001+ employees
Job no longer available
CA$112.4-168.6k
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 12+ years of hands-on experience in DataOps, MLOps, cloud architecture, DevOps, or related fields, with a proven track record of delivering large-scale enterprise data and ML/AI solutions
- 5+ years of experience with CI/CD pipelines, IaC tools, configuration management tools, containerization technologies, and infrastructure automation, with a focus on data and ML/AI workloads
- 7+ years of experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and its suite of products, including data and ML/AI services
- 4+ years of experience with data platforms (Snowflake, Databricks, or similar technologies)
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field. (Advanced Degree in Data Analytics, AI, Computer Science - is a plus)
- Proven ability to establish best practices in a DevOps environment and lead cross-functional teams, particularly within data and AI domains
- Strong understanding of data management principles, data governance, and data security best practices
- Strong understanding of software development lifecycles and methodologies (Agile, Waterfall, etc.)
- Experience working collaboratively with third-party vendors as well as data scientists, ML engineers, software engineers, product development, and cloud operations teams
- Excellent communication, interpersonal, and leadership skills with the ability to influence and mentor others
- Problem-solving and troubleshooting in technical environments
- Ability to work in a fast-paced, cross-functional team environment
- This is a critical role that requires deep technical expertise in data and AI technologies, strong leadership skills, and a passion for driving innovation and efficiency in our Data, Analytics and ML/AI initiatives
What the job involves
- The Enterprise Data Services (EDS) organization is a multifaceted and evolving team that is orchestrating Workday’s growth through trusted data excellence, innovation, and architectural thought leadership
- Equipped with an array of skills in data science, engineering, and analytics, this team orchestrates the flow of data across our growing company while ensuring data accessibility, accuracy, and security
- Workday is seeking a Principal DevOps Architect to be a driving force in strengthening our DevOps culture within our Data Platforms team
- You will be a key leader in enhancing automation, observability, and continuous improvement across these critical areas, with a focus on building and scaling robust and efficient Data Platforms
- Define and champion the vision for a modern, scalable, and secure data and AI platform, incorporating cloud-native technologies and data mesh concepts
- Champion effective Platform principles and practices, ensuring automated data pipelines, CI/CD, and robust monitoring for efficient operations
- Design and implement scalable Data and ML/AI platforms to accelerate the development, deployment, and management of these solutions in production
- Establish and implement architectural standards, best practices, and Infrastructure as a Code for data and ML/AI infrastructure, promoting automation and CI/CD
- Lead multi-functional collaboration between data scientists, platform engineers, data engineers, operations, and security teams
- Stay abreast of the latest data and AI technologies, proactively identifying and evaluating new tools and methodologies to improve efficiency and performance
- Partner with engineering, and product development teams to understand their needs and translate them into efficient CI/CD pipelines
- Own the selection, integration, and optimization of DevOps tools and technologies specific to data and ML/AI, including:
- CI/CD platforms (e.g., Jenkins, GitLab CI/CD,) with integrations for data and ML/AI workflows
- Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) for provisioning and managing infrastructure
- Configuration management tools for automating the configuration of data platforms
- Containerization technologies (e.g., Docker, Kubernetes) for deploying and scaling data and ML/AI applications
- Establish and implement architectural standards, guidelines, and frameworks specific to data workloads, ensuring consistency and quality across all projects and systems
- Promote a culture of automation, continuous integration, continuous delivery, and continuous deployment (CI/CD) throughout the data platforms
- Stay up-to-date with the latest DevOps trends and technologies relevant to data and ML/AI, proactively proposing and evaluating new tools and methodologies to improve efficiency and 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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