Principal Data Engineer, Product Data

Okta is seeking a Principal Data Engineer, Product Data to architect, build, and maintain scalable, high-volume data systems for product behavioral and telemetry information. In this hybrid role based in Chicago, you will lead cross-functional work focused on improving data availability, integrity, governance, and consistency in data modeling and metric standards.

What you will do

• Design, build, and continuously evolve high-scale data solutions that act as a reference architecture and make data access simpler across the organization.
• Create data quality frameworks, including monitoring, anomaly detection, and alerting, supported by governance, lineage tracking, and change management rigor for externally reported numbers.
• Drive adoption of consistent data modeling patterns, naming conventions, documentation practices, and metric governance standards across the data organization.
• Lead cross-functional technical initiatives across data verticals to accelerate delivery and strengthen data systems over time.
• Operate effectively in ambiguity, making sound technical decisions that balance near-term delivery 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 senior engineers, lead cross-functional task forces, and help build a culture of engineering excellence and data-driven decision making.
• Stay current on the data landscape, adopting and advocating for emerging technologies and practices to guide long-term technical direction.

What you bring

• 10+ years in a data engineering role, with proven senior or lead experience; Federal government compliance and security experience is highly desirable.
• Deep expertise in product behavioral data engineering, especially telemetry data, including structured data for product launch analysis, feature usage, retention, and other product lifecycle metrics.
• Proven experience partnering with Product Engineering teams on instrumentation for data collection.
• Expert-level skills with SQL and ETL/ELT tools such as Airflow and dbt, plus MPP databases like Snowflake and Redshift.
• Extensive hands-on experience with AWS services including S3, Lambda, EMR, ECR, and EKS.
• Deep experience designing and working with lakehouse architectures using Databricks and modern file formats such as Iceberg and Delta.

Key technologies

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

Okta experience

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

Location: Chicago, IL (hybrid)

Compensation: USD 197,000 - 270,600 per yearly