Job Description
Job Overview
dbt Labs is seeking a strategic and hands-on Lead IT Systems Engineer to join their Enterprise Security and Technology team. In this high-impact role, you will be the technical lead on a small team of engineers and own the strategy and execution of enterprise systems to ensure secure, scalable, and user-friendly identity, collaboration, and access platforms. This position offers opportunities for growth in technical specialization, security engineering leadership, and cross-functional roles in security architecture and cloud security.
Technical Requirements
Required Skills
- • 6+ years of experience in enterprise systems engineering
- • Proven ability to establish technical vision and roadmaps for identity management systems
- • Experience designing and implementing secure access frameworks
- • Strategic expertise in multi-cloud infrastructure (AWS, GCP, Azure)
- • Hands-on experience with Infrastructure as Code tools
Preferred Skills
- • Leadership experience in SaaS platform integration
- • Technical leadership in automation development
- • Experience developing and implementing DLP frameworks
Experience Level
Senior
Responsibilities
- • Provide technical leadership and mentorship to a team of systems engineers
- • Architect and maintain identity systems using Okta Identity Engine and Okta Workflows
- • Define and manage infrastructure as code using Terraform or similar tools
- • Administer and automate enterprise SaaS platforms such as Google Workspace, Slack, Zoom, Notion, and Jamf
- • Build automated workflows for user and system lifecycle management using scripting and APIs
- • Provision and manage cloud infrastructure resources in AWS, GCP, and Azure
Technical Environment
Benefits & Perks
- • Unlimited PTO
- • 401k with a 3% guaranteed contribution
- • Excellent healthcare coverage
- • Paid parental leave
- • Wellness and home office stipends
Additional Information
- Location
- US - Remote
- Type
- Full-time
- Compensation
- 140,000 - 170,000 USD
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
Website
Categories
AI
Data Analytics
Data Engineering