Principal Data Engineer, Product Data
Core
Architecting, building, and maintaining high-scale data solutions and reference architectures to capture product behavioral data and drive adoption/growth for Okta's AI and identity products.
Role type
Principal Data Engineer (Product Data)
Builds
Scalable data platforms, data quality frameworks, and reference architectures for product telemetry and lifecycle metrics.
Domain
Identity security / AI infrastructure / Product analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, ETL/ELT (Airflow, dbt), MPP databases (Snowflake, Redshift), AWS services (S3, Lambda, EMR, ECR, EKS), lakehouse architectures (Databricks), modern file formats (Iceberg, Delta), data modeling, schema evolution, technical leadership, cross-functional collaboration
Preferred skills
Federal government compliance and security requirements experience
Technologies
Airflow, dbt, Snowflake, Redshift, AWS, Databricks, Iceberg, Delta
Responsibilities
Design and evolve high-scale data solutions serving as reference architecture; Develop data quality frameworks, monitoring, anomaly detection, and alerting; Drive adoption of consistent data modeling patterns and metric governance standards; Lead cross-functional technical initiatives to accelerate delivery; Navigate ambiguity and make sound technical decisions balancing short-term delivery with long-term investment; Mentor senior engineers and foster engineering excellence
Seniority
Principal, hands-on IC with mentorship and strategy