Senior Data Engineer
Join Okta as a Senior Data Engineer to design and build scalable data solutions for an AI-driven future.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 20 hours ago
Skills & Technologies
What you'll build
- Build and maintain scalable data platforms
- Utilize Terraform to manage infrastructure as code
- Develop and maintain CI/CD pipelines
- Engineer robust data pipelines for AI and ML models
- Implement comprehensive data governance frameworks
Must have
- 5+ years of professional experience in a data engineering or full-stack role
- Expert-level knowledge of SQL and ETL tools
- Hands-on experience with AWS
- Experience with lakehouse architectures
- Proficiency with Docker and Kubernetes
Nice to have
- Experience working on latest AI technologies
- Experience coaching and developing individuals
- Familiarity with cloud cost optimization
- Background in SaaS, security, or identity industries
AI in the day-to-day
You will play a critical role in preparing Okta for its AI-driven future by building stable data layers and partnering with Analytics Engineers to power our AI/ML systems.
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Senior Data Engineer at Okta, the individual will design, build, and maintain scalable data solutions that support various organizational functions. Key skills include expertise in AWS, Snowflake, and modern data architecture, along with proficiency in SQL and ETL tools. This position is ideal for someone with over five years of experience in data engineering or full-stack roles, particularly those with a background in AI technologies or SaaS. The team emphasizes collaboration across departments to enhance Okta's data capabilities in an AI-driven landscape.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 12, 2026. Last confirmed on Okta's careers page October 27, 2026.
- This exact title is also open at 1 other location at Okta: Bengaluru, India.
Quick facts
- Is the Senior Data Engineer role remote?
- It's hybrid — Okta expects some on-site time in Bengaluru, India.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Data Engineer role.
- Where is the role based?
- Okta is hiring for this position in Bengaluru, India.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Airflow, Databricks, Docker, GitHub, GitLab.
- What seniority level is this role?
- Okta targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Engineer role at Okta.
From the original posting
Secure Every Identity, from AI to Human
Secure Every Identity, from AI to Human
The Data Engineering Team
Our Data Engineering team is part of the Technology Data & Intelligence organization, on a mission to accelerate Okta’s scale and growth. We focus on building platforms and capabilities utilized across the organization by sales, marketing, engineering, finance, product, and operations. You will be part of a team performing detailed technical designs, development, and implementation of applications using cutting-edge technology stacks.
The Senior Data Engineer Opportunity
As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable solutions. This role involves collaborating with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security. You will play a critical role in preparing Okta for its AI-driven future by building stable data layers and partnering with Analytics Engineers to power our AI/ML systems.
What you’ll be doing
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Design and Develop Scalable Platforms: Build and maintain scalable data platforms using AWS, Snowflake, dbt, and Databricks.
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Infrastructure as Code: Utilize Terraform to manage infrastructure as code, ensuring consistent and reproducible environments.
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CI/CD Management: Develop and maintain CI/CD pipelines for data platform applications using GitHub and GitLab.
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AI/ML Infrastructure: Engineer robust data pipelines that fuel high-performance AI and ML models by delivering reliable, feature-rich datasets.
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Data Governance & Strategy: Implement comprehensive data governance frameworks to ensure data lineage, compliance, and quality across all analytical platforms.
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Security & Compliance: Conduct vulnerability scans, apply necessary patches, and ensure data security meets industry standards.
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Innovation: Explore cutting-edge tools like "data engineer agents" to automate routine tasks and free up time for high-leverage, custom pipelines.
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Cross-Functional Collaboration: Partner with product managers, UX designers, and other developers to deliver end-to-end solutions.
What you’ll bring to the role
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Education: BS in Computer Science, Engineering, or another quantitative field of study.
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Experience: 5+ years of professional experience in a data engineering or full-stack role.
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SQL & ETL Mastery: Expert-level knowledge of SQL, ETL tools such as Airflow and dbt, and relational/columnar MPP databases like Snowflake or Redshift.
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Cloud Infrastructure: Hands-on experience with AWS (S3, Lambda, EMR, EC2, EKS).
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Modern Data Architecture: Experience with lakehouse architectures (Databricks) and file formats like Iceberg and Delta.
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Containerization: Proficiency with Docker and Kubernetes for packaging and distributing applications.
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Communication: Excellent oral and written communication skills for both technical and non-technical audiences.
And extra credit if you have experience in any of the following!
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Experience working on latest AI technologies
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Experience coaching and developing individuals for increased effectiveness
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Familiarity with cloud cost optimization (FinOps)
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Background in SaaS, security, or identity industries
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The Okta Experience
Standard company text repeated across Okta's postings is omitted here.