Sr Analytics Engineer

Workday; Atlanta (GA); Hybrid; USD 160,000 - 216,500; Full time

Benefits offered by this job

Hybrid work model

Stock grants

Bonus plan

Job summary

Workday is seeking an expert to lead the vision and governance of ontologies and knowledge graphs, integrating a semantic layer to support AI‑ready knowledge bases and analytics. You will define standards for semantic modeling, collaborate with governance and analytics teams, and document all semantic structures and metrics.

Hybrid role with potential partial telecommuting. Strong background in Semantic Engineering, Data Analytics, and Data Warehousing is essential, plus extensive experience

Qualifications

• Master’s degree plus two years of experience in the job offered or related occupation.
• Requires two years of experience in semantic engineering, data analytics, data architecture, data engineering, solution design, data warehousing, and computer coding.
• Bachelor’s degree plus five years of experience in the job offered or related occupation.
• Requires five years of experience in semantic engineering, data analytics, data architecture, data engineering, solution design, data warehousing, and computer coding.

Responsibilities

• Lead the vision, development, implementation, and governance of ontologies and knowledge graphs.
• Architect and integrate the semantic layer for AI-ready knowledge base and analytics.
• Develop standards and best practices for knowledge representation and semantic modeling.
• Collaborate with Data Governance to define policies for governance of semantics.
• Partner with analytics engineers and data architects to understand data models and domains.
• Provide guidance on transforming and semantically enriching data for AI and BI tools.
• Maintain documentation for semantic models, metrics, definitions, relationships and metadata.
• Evaluate and monitor performance, quality and usability of semantic systems.

Skills

Semantic Engineering

Data Analytics

Data Architecture

Data Engineering

Solution Design

Data Warehousing

Computer Coding

Snowflake

Education

Master’s degree in Computer Science, Engineering, Information Technology, or related field

Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field

Tools

Snowflake

Job description

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

About You

Basic Qualifications

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

Other Qualifications

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 Transparency Statement

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

USA, GA, Atlanta

Our Approach to Flexible Work

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.

Equal Opportunity Employer

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 or more essential functions of their job, as well as regarding the use of AI tools for employment decision‑making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

Accommodations

If you require a reasonable accommodation, you should open a People Guide Request (current employees only), or you may email [e-mail], as far in advance as possible.