Principal Data Engineer (Bengaluru) at Okta

Okta

Bengaluru, India·6h ago

LeadFull-timeRustAWSTerraformMachine LearningCI/CDGitAIData

Salary Range

$30,600 - $41,400 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for 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. This role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality.

Key Responsibilities

→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.

Requirements

✓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 solutions.
✓Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.