Principal Data Engineer (Product Data)

Join Okta's Data Engineering team as a Principal Data Engineer. In this role, you will architect, build, and maintain critical data solutions that drive product adoption and growth. You will work closely with product engineering teams, data analysts, and data scientists to ensure data availability and integrity. You will also mentor senior engineers and advocate for emerging technologies and practices.

• Design, build and evolve high scale data solutions that serve as the reference architecture for the organization and simplifying data access across the organization.
• Develop data quality frameworks, monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers.
• Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization.
• Proven experience working closely with Product Engineering teams to partner on successful instrumentation for data collection
• Modern Architectures: Deep experience designing and working with lakehouse architectures (Databricks) and modern file formats (Iceberg, Delta)
• Experience: 10+ years in a data engineering role, with proven experience in a senior or lead capacity. Experience with Federal government compliance and security requirements is highly desirable
• Technical Expertise: Expert-level experience with SQL, ETL/ELT tools (Airflow, dbt), and MPP databases (Snowflake, Redshift). Extensive hands-on experience with AWS services (S3, Lambda, EMR, ECR, EKS)
• Product knowledge: Deep expertise in product behavioral data engineering - specifically in telemetry data, including structured data for product launch analysis, feature usage, retention and other critical product lifecycle metrics