Senior Data Engineer

Okta
Bengaluru
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Innovation","Ownership","Coaching"]

Design, build, and maintain scalable data platforms that ensure data availability, integrity, and security for analytics and AI/ML at scale. Partner with data engineers, analysts, scientists, and Analytics Engineers to deliver reliable, feature-rich datasets. Build infrastructure as code, CI/CD pipelines, and robust AI/ML data pipelines using AWS, Snowflake, dbt, and Databricks, while implementing governance, lineage, and compliance across analytical platforms.

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FursaFursa
Okta
Okta
7 hours ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Design, build, and maintain scalable data platforms that ensure data availability, integrity, and security for analytics and AI/ML at scale. Partner with data engineers, analysts, scientists, and Analytics Engineers to deliver reliable, feature-rich datasets. Build infrastructure as code, CI/CD pipelines, and robust AI/ML data pipelines using AWS, Snowflake, dbt, and Databricks, while implementing governance, lineage, and compliance across analytical platforms.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build scalable data platforms using AWS, Snowflake, dbt, and Databricks.
  • •Use Terraform to manage infrastructure as code and ensure consistent environments.
  • •Develop and maintain CI/CD pipelines for data platform applications using GitHub and GitLab.
  • •Engineer robust AI/ML data pipelines delivering reliable, feature-rich datasets for high-performance models.
  • •Implement data governance, data lineage, compliance/quality, and perform security activities like vulnerability scans and patching.

Key Requirements

  • •BS in Computer Science, Engineering, or another quantitative field.
  • •5+ years of professional experience in data engineering or full-stack work.
  • •Expert-level SQL and ETL tooling (including Airflow and dbt) and experience with relational/columnar MPP databases like Snowflake or Redshift.
  • •Hands-on AWS experience (S3, Lambda, EMR, EC2, EKS) and lakehouse/data architecture experience with Databricks.
  • •Experience with modern engineering practices/tools including Terraform, CI/CD pipelines, Docker, and Kubernetes.
Experience:5+ yearsSaaSSecurityIdentityAIMLData engineering
Education:Bachelor's in Computer Science, Engineering, or another quantitative field
Skills:CommunicationCollaborationInnovationOwnershipCoaching
Languages:English
Tech Stack:AWSS3LambdaEMREC2EKSSnowflakeDbtDatabricksTerraformGitHubGitLabAirflowRedshiftIcebergDeltaDockerKubernetesCI/CD

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
WebsiteLinkedIn