Description
As a Senior Data Engineer at Okta, you will design, build, and maintain scalable solutions, collaborating with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security.
You will play a critical role in preparing Okta for its AI-driven future by building stable data layers and partnering with Analytics Engineers to power our AI/ML systems.
Responsibilities:
- Design and develop scalable platforms using AWS, Snowflake, dbt, and Databricks.
- Manage infrastructure as code using Terraform.
- Develop and maintain CI/CD pipelines for data platform applications using GitHub and GitLab.
- Engineer robust data pipelines that fuel high-performance AI and ML models.
- Implement comprehensive data governance frameworks to ensure data lineage, compliance, and quality.
- Conduct vulnerability scans and ensure data security meets industry standards.
- Explore cutting-edge tools to automate routine tasks.
- Partner with product managers, UX designers, and other developers to deliver end-to-end solutions.
Requirements:
- BS in Computer Science, Engineering, or another quantitative field of study.
- 5+ years of professional experience in a data engineering or full-stack role.
- Expert-level knowledge of SQL, ETL tools, and relational/columnar MPP databases.
- Hands-on experience with AWS, modern data architecture, and containerization.
- Excellent oral and written communication skills.