Okta is seeking a Principal Data Engineer, Product Data to architect, build, and maintain scalable, high-scale data solutions focused on product behavioral and telemetry data. This role leads cross-functional efforts to strengthen data availability, integrity, governance, and consistent modeling and metric standards.

Role Overview

You will serve as a technical leader responsible for designing reference data architecture that improves organization-wide data access. The position emphasizes data quality and governance rigor suitable for externally reported metrics, along with long-term infrastructure planning while delivering in an ambiguous environment.

Key Responsibilities

Design, build, and evolve high-scale data solutions that act as a reference architecture for the organization and simplify data access
Develop data quality frameworks, monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management practices appropriate for externally reported numbers
Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization
Lead cross-functional technical initiatives across data verticals to accelerate delivery and harden data systems
Navigate ambiguity and make sound technical decisions 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 by raising the technical bar through mentoring senior engineers, leading cross-functional task forces, and supporting a culture of engineering excellence and data-driven decision-making
Adopt and advocate for emerging technologies and practices to guide the team’s long-term technical direction

Required Qualifications

10+ years of experience in a data engineering role, including senior or lead capacity
Federal government compliance and security requirements experience is highly desirable
Deep expertise in product behavioral data engineering, including telemetry data for structured product launch analysis, feature usage, retention, and other product lifecycle metrics
Proven experience partnering with Product Engineering teams on successful instrumentation for data collection
Expert-level experience with SQL; ETL/ELT tools including Airflow and dbt; and MPP databases including 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 including Iceberg and Delta

Technologies

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

Location and Compensation

Chicago, IL (hybrid)
USD 197,000 to 270,600 per year

The Okta Experience

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

Principal Data Engineer, Product Data