Senior Data Engineer

Role overview

Senior Data Engineer at Okta

The Senior Data Engineer Opportunity As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable solutions.

What you’ll bring to the role

Responsibilities

• 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.

Required qualifications

• BS in Computer Science, Engineering, or another quantitative field of study.
• 5+ years of professional experience in a data engineering or full-stack role.
• SQL & ETL Mastery: Expert-level knowledge of SQL, ETL tools such as Airflow and dbt, and relational/columnar MPP databases like Snowflake or Redshift.
• Cloud Infrastructure: Hands-on experience with AWS (S3, Lambda, EMR, EC2, EKS).
• Modern Data Architecture: Experience with lakehouse architectures (Databricks) and file formats like Iceberg and Delta.
• Containerization: Proficiency with Docker and Kubernetes for packaging and distributing applications.
• 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!
• Experience working on latest AI technologies Experience coaching and developing individuals for increased effectiveness Familiarity with cloud cost optimization (FinOps) Background in SaaS, security, or identity industries #Hybrid_Bengaluru #LI_Linkedin P24821_3521363

Employment details

• Location: Bengaluru [India]

About the employer

• Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.
• 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.

Additional role details

• Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI.
• This work requires a relentless drive to solve complex challenges with real-world stakes.
• We are looking for builders and owners who operate with speed and urgency and execute with excellence.
• This is an opportunity to do career-defining work.
• We're all in on this mission.
• If you are too, let's talk.
• 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.
• This role involves collaborating with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security.
• What you’ll be doing Design and Develop Scalable Platforms: Build and maintain scalable data platforms using AWS, Snowflake, dbt, and Databricks.
• Infrastructure as Code: Utilize Terraform to manage infrastructure as code, ensuring consistent and reproducible environments.
• CI/CD Management: Develop and maintain CI/CD pipelines for data platform applications using GitHub and GitLab.
• AI/ML Infrastructure: Engineer robust data pipelines that fuel high-performance AI and ML models by delivering reliable, feature-rich datasets.
• Data Governance & Strategy: Implement comprehensive data governance frameworks to ensure data lineage, compliance, and quality across all analytical platforms.
• Security & Compliance: Conduct vulnerability scans, apply necessary patches, and ensure data security meets industry standards.
• Innovation: Explore cutting-edge tools like "data engineer agents" to automate routine tasks and free up time for high-leverage, custom pipelines.
• Cross-Functional Collaboration: Partner with product managers, UX designers, and other developers to deliver end-to-end solutions.