Principal Data Engineer, Product Data
Apache Airflow
Big Data
Cloud Platform
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Lakehouse
Data Modeling
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Quality
Data Warehouse
Data Warehousing
Databricks
Snowflake
SQL
Job Description
Okta’s Data and Insights team is building scalable foundations for product behavioral (telemetry) insights. In this Principal Data Engineer role, you will architect, build, and maintain data solutions that improve reliability, data access, and governance for product teams while partnering closely with Product Engineering on instrumentation and data integrity.
Location: Bellevue, WA (hybrid). Compensation: USD 197,000 - 270,600 per year. Experience: 10+ years.
What you will do
- Design, build, and evolve high-scale data solutions that act as a reference architecture for the organization and make data access easier across teams.
- Create data quality frameworks including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor appropriate for externally reported metrics.
- Promote consistent practices for data modeling patterns, naming conventions, documentation norms, and metric governance across the data organization.
- Lead cross-functional technical initiatives across data verticals to accelerate delivery and strengthen data systems over time.
- Work through ambiguity and make sound technical tradeoffs, balancing 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 and scale engineering impact by guiding senior engineers, leading cross-functional task forces, and strengthening a culture of engineering excellence and data-driven decision-making.
- Stay current with the data landscape, adopting and advocating for emerging technologies and practices to set the team’s longer-term technical direction.
What you bring
- 10+ years in data engineering in a senior or lead capacity. Experience with Federal government compliance and security requirements is highly desirable.
- Deep expertise in product behavioral data engineering, especially telemetry data for structured product launch analysis, feature usage, retention, and other product lifecycle metrics.
- Proven experience partnering with Product Engineering teams to deliver successful instrumentation for data collection.
- Expert-level experience with SQL, ETL/ELT tooling such as 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 with lakehouse architectures (such as Databricks) and modern file formats including Iceberg and Delta.
Technologies you’ll work with
SQL, Airflow, dbt, Snowflake, Redshift, AWS (S3), Lambda, EMR, ECR, EKS, Databricks, Iceberg, Delta
The Okta experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
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