Senior Data Platform Engineer (Bengaluru)
Okta · Bengaluru · 5+ yrs experience · Posted 2026-07-18
Tech stack: AWS, Terraform
Apply on the company site · Get a referral for this role
Okta salary & ratings · Okta interview process · More live openings
About the role
Responsibilities:
- 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.
- LI_Hybrid
- P24719_3369503
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
Qualifications:
- Experience listed by Okta posting: 5+ years.
- Official department: Data & Insights-190.
- Location listed by Okta: Bangalore, India.
Qualifications
- Experience listed by Okta posting: 5+ years.
- Official department: Data & Insights-190.
- Location listed by Okta: Bangalore, India.
Responsibilities
- 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.
- 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.
- LI_Hybrid P24719_3369503 Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community