Principal Data Platform Engineer
Okta · Bengaluru · hybrid · Posted 56d ago
Undisclosed10–15 yrsfulltimeSourced from
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About this role
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 todays 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.
- 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.
- 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.
- A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.
- Robust, automated data governance and security frameworks embedded into the platform''s core architecture.
- A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.
- Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.
Sourced from naukri
Skills
TerraformGitlabGithubData EngineerData Platformuse casesamazon web servicesinfrastructure as codeapache airflowdbtproduct managerDatabricksData EngineeringVulnerability ManagementArchitectureData GovernancecomplianceSnowflakeProduct ManagementArtificial Intelligence
About Okta
Okta
Software Product
257
employees
2009
17 years old
New Delhi, Delhi
India
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OKTA IDENTITY INDIA PRIVATE LIMITED
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