Senior Data Platform Engineer (Bengaluru)

About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will be a key hands-on contributor responsible for building the data platform that supports our internal AI use cases with AI-ready data. You will help turn the data product vision into a secure, scalable, and elegant technical reality by developing and implementing core components of our data infrastructure.

This role requires a skilled engineer who is passionate about building high-quality data solutions. You will contribute to the team’s standards for engineering excellence and help ensure our core data platform is trusted and ready to power AI-powered decision-making at Okta.

What You’ll Do

• Build and maintain performant data pipelines and data models on the company's AI data platform, using Snowflake, AWS, and dbt.
• Implement components of our security and governance framework to ensure high-compliance and security standards are met.
• Develop automated solutions for data classification, access control, and contribute to our vulnerability management processes.
• Use infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to build, test, and deploy data infrastructure securely and reliably.
• Adhere to and champion best practices in code quality, system design, and operational readiness.
• Collaborate closely with product managers, senior engineers, and analytics teams to deliver high-quality data solutions that meet business needs.

What You Bring

• Experience: 5+ years of data engineering experience, with a focus on building data pipelines, data models, and working on data platforms. 
• Technical Proficiency: Strong, hands-on experience with cloud data platforms (Snowflake, Databricks, or similar) and AWS. Solid understanding of data pipeline and orchestration tools like dbt, Airflow, or Fivetran, and IaC with Terraform.
• Security & Governance Mindset: Experience implementing security controls, and a good understanding of data governance principles within a modern data stack.
• Collaborative Spirit: A proven track record of working effectively in a team environment with product managers, analysts, and other engineers to deliver features.
• Problem Solver: Ability to tackle well-defined technical problems and deliver high-quality, maintainable engineering solutions.

What Success Looks Like

• You are consistently delivering high-quality, reliable, and well-tested data pipelines and platform features.
• The infrastructure you build is automated, secure, and aligns with the team’s best practices.
• You are a trusted, collaborative, and productive member of the data engineering team.
• Your work directly contributes to a cost-optimized and efficient tech stack that accelerates development for your peers.

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