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Okta

Principal Data Engineer, Product Data

Okta
San Francisco, CA $197k - $271k/yr Full time Posted 1h ago
3d Design Tools Apache Airflow Big Data Bigdata Cloud Cloud Data Warehouse Cloud Operations Cloud Platform Cloud Platforms Data Data Analysis Data Analytics Data Architecture Data Build Tool Data Engineer Data Engineering Data Integration Data Lake Data Lakehouse Data Management Data Modeling Data Operations Data Pipeline Data Pipelines Data Platform Data Processing Data Warehouse Data Warehousing Database Databases Databricks Dataops ETL Informatica Snowflake Spark SQL
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Job Description

Okta is building scalable, reliable product behavioral and telemetry data platforms, and the Principal Data Engineer, Product Data role is at the center of that effort. This position focuses on architecting data solutions that product teams can trust, with an emphasis on data availability, integrity, and governance across globally distributed initiatives. If you enjoy turning complex data challenges into dependable systems, this hybrid role in San Francisco, CA offers a chance to lead technical direction while raising the quality bar for data-driven decision making.

What you’ll do

  • Design, build, and evolve high scale data solutions that act as reference architecture and simplify how data is accessed across the organization.
  • Create data quality frameworks, including monitoring, anomaly detection, and alerting, with strong governance, lineage tracking, and change management aligned to externally reported numbers.
  • Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards.
  • Lead cross-functional technical initiatives across data verticals to accelerate delivery and strengthen the resilience of data systems.
  • Operate effectively in ambiguity by making sound technical decisions that balance near-term delivery with long-term infrastructure investment.
  • Champion data contracts by implementing data contract practices and schema evolution approaches to support reliability across global product teams.
  • Mentor and scale impact by raising the technical bar, mentoring senior engineers, leading cross-functional task forces, and fostering engineering excellence.
  • Stay current with the data landscape and advocate for emerging technologies and practices to guide long-term technical direction.

What you bring

  • 10+ years of data engineering experience in a senior or lead capacity. Federal government compliance and security requirements experience is highly desirable.
  • Deep expertise in product behavioral data engineering, especially telemetry data for structured launch analysis, feature usage, retention, and other key product lifecycle metrics.
  • Proven experience partnering with Product Engineering teams on successful instrumentation for data collection.
  • Expert-level experience with SQL, ETL/ELT tools (Airflow, dbt), and MPP databases (Snowflake, Redshift), plus extensive hands-on experience with AWS services (S3, Lambda, EMR, ECR, EKS).
  • Deep experience with lakehouse architectures (Databricks) and modern file formats (Iceberg, Delta).

Tech stack

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

Salary Range: USD 197,000 - 270,600 per year

Location: San Francisco, CA (hybrid)

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