Sr Analytics Engineer

About the Role

Lead the vision, development, implementation, and governance of sophisticated ontologies and knowledge graphs that capture the meaning and relationships within Workday’s structured enterprise data. Architect and integrate the semantic layer to serve as an AI‑ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise.

Develop standards, guidelines and best practices for knowledge representation, semantic modeling and data standardization across Workday to ensure a clear and consistent approach within the enterprise semantic layer. Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements (e.g., from AI prompt engineering initiatives) and backlog management, ensuring efficient and iterative delivery. Collaborate closely with our Data Governance team to define policies and influence practices for the creation, evolution and governance of semantics in an AI‑driven environment, ensuring trust and ethical use.

Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed, optimised and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. Establish and maintain comprehensive documentation for all aspects of the semantic layer, including defining and standardising key business metrics, documenting ontological definitions, relationships, usage guidelines and metadata for all semantic models, ensuring clarity, consistency and ease of understanding for all data users.

Evaluate and monitor the performance, quality and usability of semantic systems, ensuring they meet organisational objectives, external standards and the demands of AI applications.

Position may allow for partial telecommuting.

Salary Range: $160,056 – $216,500

Master’s degree in Computer Science, Engineering, Information Technology, or related field plus two (2) years of experience in the job offered or related occupation.

Requires 2 years (24 months) of experience in the following:

• Semantic Engineering
• Data Analytics
• Data Architecture
• Data Engineering
• Solution Design
• Data Warehousing
• Computer Coding

Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field plus five (5) years of experience in the job offered or related occupation.

Requires five years (60 months) of experience in the following:

• Semantic Engineering
• Data Analytics
• Data Architecture
• Data Engineering
• Solution Design
• Data Warehousing
• Computer Coding

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 .

USA, GA, Atlanta

Workday uses a hybrid Flex Work Model. Most roles require at least 50% in‑person time each quarter in a Workday office or with customers, prospects, or partners, with specific expectations varying by role, team, country, and business needs.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one…