Staff Data Engineer

Okta; Washington (District of Columbia); Hybrid; USD 174,000 - 239,000; Full time

Benefits offered by this job

Well-being initiatives

Social impact programs

Talent development & community

Job summary

Okta is seeking a Staff Data Engineer to steer the architectural evolution of its data platform, starting with FEDRamp compliance. This role is based in Washington, DC with a hybrid work arrangement and offers a salary range of USD 174,000 - 238,700 per year.

The position requires eight or more years of experience. Spearhead the design and ongoing evolution of the data platform architecture, defining the strategic roadmap for its future state.

Qualifications

• Eight or more years of software development experience, with at least five years in data engineering or data platform.
• Experience delivering large-scale cross-functional technical projects.
• Cloud experience with AWS and modern data stack technologies.

Responsibilities

• Spearhead design and evolution of data platform architecture and define the strategic roadmap.
• Shape technical strategy for large-scale platform enhancements and secure architectures.
• Collaborate with data, platform, and security teams to craft cohesive architectural framework.
• Create design docs, threat models, and specifications to clarify complex initiatives.
• Mentor Data Engineering team and promote best practices through code reviews.
• Implement core components, validate designs with hands-on coding, and model practices.

Skills

Secure data systems

Communication

Leadership

Mentorship

Tools

Snowflake

dbt

Airflow

Python

SQL

AWS

Terraform

Kubernetes

AWS GovCloud

Job description

Okta is seeking a Staff Data Engineer to steer the architectural evolution of its data platform, starting with FEDRamp compliance. This role is based in Washington, DC with a hybrid work arrangement and offers a salary range of USD 174,000 - 238,700 per year. The position requires eight or more years of experience.

Responsibilities

• Spearhead the design and ongoing evolution of the data platform architecture, defining the strategic roadmap for its future state.
• Shape the technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
• Work closely with engineers and leaders across data, platform, and security teams to craft a cohesive and secure architectural framework.
• Create architectural artifacts such as design documents, threat models, and technical specifications to clarify and align on complex initiatives.
• Serve as a technical mentor and multiplier for the Data Engineering team, boosting performance through guidance, code reviews, and sharing best practices.
• Implement core components of the new architecture, validate designs with hands‑on coding, and model practices for peers to follow.

Requirements

• Demonstrated passion for building secure, reliable, and scalable data systems.
• Minimum eight years of software development experience, including at least five years in a data engineering or data platform role.
• Proven track record delivering large-scale, cross‑functional technical projects.
• Extensive experience architecting and deploying data infrastructure in a cloud environment, with a strong preference for AWS.
• Deep architectural knowledge of the modern data stack, including Snowflake, dbt, and Airflow.
• Strong proficiency in Python and SQL, with a high standard for code quality and system design.
• Excellent communication skills, capable of creating clarity and driving decisions on complex technical topics.
• Ability to navigate ambiguity, define a path forward, and lead others to successful outcomes.

Technologies

• Snowflake
• dbt
• Airflow
• Python
• SQL
• AWS
• Terraform
• Kubernetes
• AWS GovCloud

Benefits

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

The Auth0 Data Engineering Team

• Pipeline team, sitting closer to the Platform team and data producers, responsible for efficient data ingestion and providing rapid access to unmodeled data.
• Warehouse team sitting closer to the business teams and data consumers, modeling data in the data warehouse to abstract complexity and streamline analysis, reporting, and decision‑making.
• Interface team responsible for creating and managing connections between the data platform and various external systems, ensuring consistent and reliable data access.

The Okta Experience

• Prioritizing employee well‑being
• Fostering social impact
• Advancing talent development and building a sense of community