Principal Analytics Engineer: Data Product & dbt Architect

Workday; Atlanta (GA); Hybrid; USD 155,400 - 276,000; Full time

Benefits offered by this job

Workday Bonus Plan

Flexible Work Schedule

Stock Grants

Job summary

Workday is seeking a Principal Analytics Engineer in Atlanta, Georgia, to drive enterprise analytics initiatives through architectural governance and data product development. The role emphasizes building scalable data pipelines and mentoring junior engineers in a cross-functional environment.

The ideal candidate will have 7+ years of experience in Analytics Engineering, proficiency in SQL, and extensive background in using DBT. Joining Workday means being part of an inclusive team dedicated to data-led innovation for impactful results.

Qualifications

• 7+ years of professional experience in an Analytics Engineering or Data Engineering role.
• Strong production experience with a major cloud data warehouse.
• Extensive experience with DBT, including advanced features.

Responsibilities

• Architect and lead the build-out of performant, reliable data pipelines.
• Define and enforce data modeling standards across the organization.
• Partner with cross-functional teams on high-impact analytics initiatives.

Skills

Analytics Engineering

Data Engineering

SQL

Data Modeling

Data Transformation

Python

DBT

Version Control (GitHub)

Education

Bachelor’s degree in Computer Science, Engineering, or a quantitative field

Master’s or Ph.D. degree preferred

Tools

Snowflake

BigQuery

Redshift

CI/CD Tools

Job description

Workday is seeking a Principal Analytics Engineer in Atlanta, Georgia, to drive enterprise analytics initiatives through architectural governance and data product development. The role emphasizes building scalable data pipelines and mentoring junior engineers in a cross-functional environment.

The ideal candidate will have 7+ years of experience in Analytics Engineering, proficiency in SQL, and extensive background in using DBT. Joining Workday means being part of an inclusive team dedicated to data-led innovation for impactful results.