Principal Data Engineer, Product Data
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
Engineer
ETL
Informatica
Snowflake
Spark
SQL
Job Description
Okta is seeking a Principal Data Engineer, Product Data to architect and deliver scalable data solutions used for product behavioral and telemetry insights. In this hybrid role based in San Francisco, you will lead initiatives that keep critical product numbers available, trustworthy, and governed across global product teams.
What you’ll do
- Design, build, and evolve high-scale data solutions that act as reference architecture for the organization and make data access simpler across teams.
- Create data quality frameworks, monitoring, anomaly detection, and alerting, applying governance, lineage tracking, and change management rigor for externally reported metrics.
- Establish and drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards.
- Lead cross-functional technical efforts across data verticals to accelerate delivery and strengthen reliability of data systems.
- Work through ambiguity by making sound technical decisions that balance short-term delivery with longer-term infrastructure investment.
- Champion data contracts by implementing data contracts and schema evolution practices to improve reliability for teams shipping telemetry at scale.
- Raise the technical bar through mentoring senior engineers, leading cross-functional task forces, and fostering a culture centered on engineering excellence and data-driven decision making.
- Stay current on data landscape changes, evaluating and advocating for emerging technologies and practices to guide long-term technical direction.
What you bring
- Experience: 10+ years in data engineering in a senior or lead capacity. Experience with Federal government compliance and security requirements is highly desirable.
- Product knowledge: Deep expertise in product behavioral data engineering, especially telemetry data, including structured data used for product launch analysis, feature usage, retention, and other key product lifecycle metrics.
- Collaboration: Proven ability to partner closely with Product Engineering teams on successful instrumentation for data collection.
- Technical expertise: Expert-level SQL and ETL/ELT tools (Airflow, dbt), along with MPP databases (Snowflake, Redshift). Extensive hands-on experience with AWS services (S3, Lambda, EMR, ECR, EKS).
- Modern architectures: Deep experience with lakehouse architectures (Databricks) and modern file formats (Iceberg, Delta).
Technologies
- SQL, Airflow, dbt
- Snowflake, Redshift
- AWS S3, AWS Lambda, AWS EMR, AWS ECR, AWS EKS
- Databricks
- Iceberg, Delta
Location and compensation
Role location: San Francisco, CA (hybrid). Salary range: USD 197,000 - 270,600 per year.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
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