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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
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SQL
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Job Description
Okta is hiring a Principal Data Engineer, People Data (hybrid) to architect and deliver scalable data platforms that power candidate and employee lifecycle insights.
Responsibilities
- Design, build, and continuously evolve high-scale data solutions to act as reference architecture and reduce friction for enterprise data access
- Create data quality frameworks including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor for externally reported metrics
- 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 accelerate delivery and harden data systems
- Make sound technical decisions in ambiguous environments, balancing short-term execution with long-term infrastructure investment
- Champion Data Contracts by implementing data contracts and schema evolution practices to support reliable outcomes across global product teams
- Mentor and scale: mentor senior engineers, lead cross-functional task forces, and build a culture of engineering excellence and data-driven decision making
- Stay current on data landscape developments, adopting and advocating emerging technologies and practices to shape the team’s long-term direction
Requirements
- 10+ years in data engineering with proven senior or lead experience
- Federal government compliance and security requirements experience is highly desirable
- Expert-level skills in SQL, ETL/ELT using Airflow and dbt, and MPP databases such as 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 bonus
- Experience building and maintaining batch and real-time pipelines using Spark and Kafka
- Deep experience with modern lakehouse and warehouse architectures (including Databricks and Snowflake) and modern file formats such as Iceberg and Delta
- Proven ability to integrate AI tools to optimize or redesign workflows with measurable impact (efficiency gains, quality improvements)
- Track record of hands-on collaboration with Data Science, Business, and Product teams
Technologies
- SQL
- Airflow
- dbt
- Snowflake
- Redshift
- AWS (S3, Lambda, EMR, ECR, EKS)
- Spark
- Kafka
- Databricks
- Iceberg
- Delta
Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
Location: Washington, DC (hybrid) | Compensation: USD 197,000 - 270,600 per yearly | Minimum experience: 10 years
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