Principal Data Engineer, People Data
Core
Architecting and building high-scale data solutions and frameworks to capture, model, and govern People (HR) data for the employee lifecycle.
Role type
Principal Data Engineer (People Data)
Builds
Scalable data platforms, data quality frameworks, and reference architectures for HR data.
Domain
Identity Security / Human Resources / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, ETL/ELT (Airflow, dbt), MPP databases (Snowflake, Redshift), AWS services (S3, Lambda, EMR, ECR, EKS), Spark, Kafka, Lakehouse/Warehouse architectures (Databricks, Snowflake), Iceberg, Delta, HR data modeling, Data Contracts
Preferred skills
Workday data structures, Federal government compliance, AI tool integration
Technologies
Airflow, dbt, Snowflake, Redshift, AWS, Spark, Kafka, Databricks, Iceberg, Delta
Responsibilities
Design and evolve high-scale data solutions; Develop data quality frameworks and monitoring; Drive adoption of consistent data modeling patterns; Lead cross-functional technical initiatives; Mentor senior engineers; Advocate for emerging data technologies
Seniority
Principal, hands-on IC with mentorship