Principal Data Engineer, Product Data
Job Description
Okta is hiring a Principal Data Engineer, Product Data to architect, build, and maintain scalable data solutions for product behavioral and telemetry data. This role leads cross-functional efforts to strengthen data availability, integrity, governance, and the adoption of consistent data modeling and metric standards.
What You’ll Do
- Design, build, and evolve high-scale data solutions that serve as an organizational reference architecture and simplify data access across teams.
- Develop data quality frameworks, monitoring, anomaly detection, and alerting, including governance, lineage tracking, and change management rigor for externally reported numbers.
- Drive organization-wide 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 harden data systems.
- Operate effectively in ambiguity and make sound technical decisions that balance short-term delivery with long-term infrastructure investment.
- Champion data contracts by implementing data contracts and schema evolution practices to support reliable downstream usage across global product teams.
- Mentor and scale by raising the technical bar through mentoring senior engineers, leading cross-functional task forces, and promoting engineering excellence and data-driven decision making.
- Stay current on the data landscape by adopting and advocating for emerging technologies and practices to shape long-term technical direction.
What You Bring
- Experience: 10+ years in a data engineering role, with proven experience in a senior or lead capacity. Federal government compliance and security requirements experience is highly desirable.
- Product knowledge: Deep expertise in product behavioral data engineering, specifically telemetry data, including structured data for product launch analysis, feature usage, retention, and other product lifecycle metrics.
- Partnering with Product Engineering: Proven experience working closely with Product Engineering teams to support successful instrumentation for data collection.
- Technical expertise: Expert-level SQL; ETL/ELT tools including Airflow and dbt; and MPP databases such as Snowflake and Redshift. Extensive hands-on experience with AWS services including S3, Lambda, EMR, ECR, and EKS.
- Modern architectures: Deep experience with lakehouse architectures (Databricks) and modern file formats such as Iceberg and Delta.
Core Technologies
SQL, Airflow, dbt, Snowflake, Redshift, AWS S3, AWS Lambda, AWS EMR, AWS ECR, AWS EKS, Databricks, Iceberg, Delta
Location and Role Details
- Location: Chicago, IL (hybrid)
- Compensation: USD 197,000 - 270,600 per year
- Minimum experience: 10 years
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community