About the job
Join the Okta Family!
At Okta, we are revolutionizing identity management by empowering individuals and organizations to securely access any technology, anywhere, on any device. Our innovative platforms, including the Okta and Auth0 Platforms, are designed to enhance security, streamline authentication, and facilitate automation, placing identity at the forefront of business growth and security.
We value diverse perspectives and backgrounds, seeking lifelong learners who can contribute their unique experiences to our mission.
Be part of a team that is building a future where identity is truly yours.
About Okta
Okta is committed to making the world a more secure and interconnected place by enabling organizations to embrace any technology. As the leading independent identity provider for enterprises, we collaborate with a diverse range of clients—from major corporations to innovative startups—to ensure secure connections between people and technology. Our robust AI and data capabilities are pivotal to our growth and success, powering secure and scalable products for both our customer base and employees.
The Opportunity
We are on the lookout for a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will play a crucial role in developing the data infrastructure that enables our internal AI initiatives through AI-ready data. Your responsibilities will include transforming our data product vision into a secure, scalable, and sophisticated technical framework.
The ideal candidate possesses a strong passion for creating high-quality data solutions. You will contribute to establishing engineering excellence within the team and ensuring our core data platform is reliable and ready to support AI-driven decision-making at Okta.
What You’ll Do
- Design and maintain efficient data pipelines and models on our AI data platform, leveraging tools such as Snowflake, AWS, and dbt.
- Implement security and governance components to uphold compliance and security standards.
- Develop automated solutions for data classification and access control, and support vulnerability management processes.
- Utilize infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to construct, test, and deploy data infrastructure with security and reliability.
- Promote and adhere to best practices in code quality, system design, and operational readiness.

