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 is looking for a Principal Data Engineer on the Data and Insights team to architect, build, and operate scalable data solutions for product behavioral (telemetry) insights. This hybrid role in Bellevue, WA focuses on making data more reliable and easier to use across the organization while partnering closely with Product Engineering on instrumentation, integrity, and governance. You will also have the opportunity to mentor engineers, lead cross-functional technical initiatives, and help guide the team toward emerging data practices.
What you’ll do
- Design, build, and evolve high scale data solutions that can serve as the organization’s reference architecture and simplify data access.
- Create data quality frameworks including monitoring, anomaly detection, and alerting, supported by governance, lineage tracking, and change management rigor appropriate for externally reported numbers.
- Establish and drive 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 strengthen data systems.
- Make sound technical decisions in ambiguous environments by balancing short-term delivery with long-term infrastructure investment.
- Champion Data Contracts by implementing data contracts and schema evolution practices to support reliable data flows across global product teams.
- Raise the technical bar through mentorship of senior engineers, leading cross functional task forces, and fostering 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 shape long-term technical direction.
What you bring
- 10+ years of experience in data engineering, including proven senior or lead capacity. Experience with Federal government compliance and security requirements is highly desirable.
- Deep expertise in product behavioral data engineering with strong understanding of telemetry data, including structured data for 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 skills in SQL, ETL/ELT tooling such as Airflow and dbt, and MPP databases including Snowflake and Redshift.
- Extensive hands-on AWS experience with S3, Lambda, EMR, ECR, and EKS.
- Deep experience designing and working with lakehouse architectures such as Databricks, along with modern file formats like Iceberg and Delta.
Tools 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
Salary range: USD 197,000 - 270,600 per year.
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