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Closed on September 11, 2026.
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Principal Data Engineer, People Data
Big Data
Data Analysis
Data Architecture
Data Engineer
Data Engineering Lead
Data Governance
Data Integration
Data Lineage
Data Pipeline
Data Platform
Data Processing
Data Quality
Data Warehouse
Database
Engineer
SQL
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Job Description
Okta is hiring a Principal Data Engineer, People Data to architect and deliver scalable data platforms that support candidate and employee lifecycle insights.
Responsibilities
- Design, build, and evolve high-scale data solutions that act as reference architecture and make data access easier across the organization
- Create data quality frameworks including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management aligned to externally reported numbers
- Drive consistent data modeling patterns, naming conventions, documentation standards, and metric governance across the data organization
- Lead cross-functional technical initiatives across data verticals to speed delivery and harden data systems
- Operate effectively in ambiguity and make technical decisions that balance 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 teams by raising the technical bar, mentoring senior engineers, leading cross-functional task forces, and fostering engineering excellence and data-driven decision making
- Stay current with the data landscape and adopt emerging technologies and practices to guide long-term team direction
Requirements
- 10+ years in data engineering, with proven senior or lead experience
- Federal government compliance and security experience is highly desirable
- Expert-level experience with SQL; ETL/ELT tools including Airflow and dbt
- MPP database experience including Snowflake and Redshift
- Extensive hands-on AWS experience: S3, Lambda, EMR, ECR, EKS
- People Data expertise in HR data covering candidate lifecycle, employee records, compensation, and organizational data
- Experience designing data models for recruiting analytics, engagement signals, and workforce planning metrics
- Experience building and maintaining batch and realtime pipelines using Spark and Kafka
- Deep experience with lakehouse and warehouse architectures such as Databricks and Snowflake
- Modern file formats experience including Iceberg and Delta
- Demonstrated ability to integrate AI tools to optimize or redesign workflows with measurable impact such as efficiency or quality improvements
- Proven hands-on collaboration with Data Science, Business, and Product teams
- Familiarity with Workday data structures is a bonus
Technologies
- SQL, Airflow, dbt
- Snowflake, Redshift
- AWS: S3, Lambda, EMR, ECR, EKS
- Spark, Kafka
- Databricks
- Iceberg, Delta
Location and Salary
- 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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