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Job Description

Okta is seeking a Principal Data Engineer, People Data to architect and operate scalable data solutions that power candidate and employee lifecycle insights across the HR and People organization.

Responsibilities

  • Design, build, and evolve high-scale data solutions that act as the organization’s reference architecture and make data access simpler
  • Create data quality frameworks including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor for externally reported metrics
  • Standardize data modeling patterns, naming conventions, documentation practices, and metric governance across the data organization
  • Lead cross-functional technical initiatives across data verticals to accelerate delivery and harden data systems
  • Make sound technical decisions in ambiguous environments by balancing short-term delivery with long-term infrastructure investment
  • Champion Data Contracts by implementing data contracts and schema evolution practices to improve reliability across global product teams
  • Mentor and scale engineering capability by mentoring senior engineers, leading cross-functional task forces, and fostering a data-driven engineering culture
  • Stay current on the data landscape and advocate for emerging technologies and practices to shape long-term technical direction

Requirements

  • 10+ years in data engineering with senior or lead experience
  • Federal government compliance and security requirements experience is highly desirable
  • Expert-level experience with SQL and ETL/ELT tooling including Airflow and dbt
  • Proven hands-on experience with MPP databases including Snowflake and Redshift
  • Extensive hands-on experience with AWS services including S3, Lambda, EMR, ECR, and EKS
  • People Data expertise focused on HR data: candidate lifecycle, employee records, compensation, and organizational data
  • Experience designing data models for recruiting analytics, engagement signals, and workforce planning metrics
  • Familiarity with Workday data structures is a plus
  • Experience building and maintaining batch and real-time pipelines using technologies such as Spark and Kafka
  • Deep experience with modern lakehouse and warehouse architectures such as Databricks and Snowflake, plus modern file formats like Iceberg and Delta
  • Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (efficiency gains, quality improvements)
  • Track record of hands-on collaboration with Data Science, Business, and Product teams

Skills & Technologies

  • SQL, Airflow, dbt
  • Snowflake, Redshift
  • AWS: S3, Lambda, EMR, ECR, EKS
  • Spark, Kafka
  • Databricks, Iceberg, Delta

Location & Compensation

  • Location: Washington, DC (hybrid)
  • Salary: USD 197,000 - 270,600 per year

The Okta Experience

  • Supporting Your Well-Being
  • Driving Social Impact
  • Developing Talent and Fostering Connection + Community

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