Okta

4 months ago

Principal Data Platform Engineer (Bengaluru)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior-level Principal Data Engineer leading the internal AI data platform at Okta, shaping technical strategy across Snowflake, AWS, and dbt. You will own security governance, data classification, and IaC/CI/CD practices, partner with product and security teams, and mentor engineers to deliver a scalable, secure data foundation powering AI-powered products.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Director level

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.

Key Requirements

•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
•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
•Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack
•Proven track record of partnering with product management and business leaders to translate vision into high-impact technical solutions
•Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation

Experience:10+ yearsData engineeringAIData platforms

Skills:LeadershipCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:SnowflakeAWSDbtAirflowFivetranTerraformGitHubGitLabNessusQualys

Company Brief

Okta

Provides identity and access management cloud solutions that help organizations secure and manage user authentication, single sign-on, multi-factor authentication, and lifecycle management across applications and devices.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn

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Okta

4 months ago

Principal Data Platform Engineer (Bengaluru)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Director level

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.

Key Requirements

•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
•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
•Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack
•Proven track record of partnering with product management and business leaders to translate vision into high-impact technical solutions
•Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation

Experience:10+ yearsData engineeringAIData platforms

Skills:LeadershipCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:SnowflakeAWSDbtAirflowFivetranTerraformGitHubGitLabNessusQualys

Company Brief

Okta

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn