Principal Data Platform Engineer (Bengaluru)

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. 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 Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life. This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta. What You’ll Do Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt. Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met. Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption. Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments. Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness. Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance. Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams. Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business. What You Bring Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus. Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform. Security Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack. Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutio ... (truncated, view full listing at source)