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Lead IT Systems Engineer

dbt Labs

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Job Description

Job Overview

dbt Labs is seeking a strategic and hands-on Lead IT Systems Engineer to join our Enterprise Security and Technology team. In this high-impact role, you'll be the technical lead on a small team of engineers, owning the strategy and execution of our enterprise systems to ensure they are secure, scalable, and user-friendly, while supporting a growing remote workforce.

Technical Requirements

Required Skills
  • • Technical leadership
  • • Architectural decision-making
  • • Identity management systems
  • • Multi-cloud infrastructure
  • • Automation development
Preferred Skills
  • • Experience with Okta Identity Engine
  • • Experience with Teleport
  • • SaaS platform integration
  • • DLP frameworks
Experience Level

6+ years of experience in enterprise systems engineering

Responsibilities

  • • Provide technical leadership and mentorship to a team of systems engineers
  • • Architect and maintain identity systems using Okta
  • • Implement and manage secure infrastructure access using Teleport
  • • Administer and automate enterprise SaaS platforms
  • • Manage endpoint provisioning and compliance for a MacOS-first environment
  • • Build automated workflows for user and system lifecycle management using scripting and APIs
  • • Provision and manage cloud infrastructure resources in AWS, GCP, and Azure
  • • Define and manage infrastructure as code using Terraform or similar tools
  • • Collaborate with engineering and platform teams
  • • Enhance and manage DLP tooling and access governance
  • • Support and lead incident management processes
  • • Create and maintain system documentation, SOPs, and architecture diagrams
  • • Evaluate and recommend new tools and services

Technical Environment

Languages

Additional Information

Location
India - Remote
Type
Full-time
Compensation
Competitive benefits package

About dbt Labs

dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

Company Size
unknown
Categories
AI Data Analytics Data Engineering