dbt Labs logo

Customer Solutions Architect II, Austin

dbt Labs

Apply Now

Job Description

Job Overview

dbt Labs is seeking a Customer Solutions Architect II in Austin, Texas, to enhance customer satisfaction and engagement with dbt Cloud deployments. This role involves managing existing customer accounts, leading technical discussions, and ensuring that clients derive maximum value from their analytics solutions. The position is integral to the early Customer Solutions Architect team and requires collaboration with sales and product teams to relay customer feedback and improve processes.

Technical Requirements

Required Skills
  • • SQL proficiency
  • • customer relationship management
Preferred Skills
  • • basic Python competency
  • • data warehousing architecture
  • • experience with data infrastructure and APIs
Experience Level

3+ years in a post-sales role, such as a technical account manager or data practitioner

Responsibilities

  • • Manage a portfolio of Commercial or Enterprise customers and monitor account health and product utilization
  • • Build and maintain strong relationships with key technical stakeholders within customer accounts
  • • Educate customers on new and existing products and features of dbt Cloud
  • • Collaborate with Sales Directors and Solutions Architects for customer lifecycle management
  • • Act as the voice of the customer in product discussions and cross-functional activities
  • • Create and deliver content through live events, blog posts, or tutorials

Technical Environment

Languages
Tools & Technologies

Benefits & Perks

  • • Unlimited vacation time
  • • 401k plan with 3% guaranteed company contribution
  • • Comprehensive healthcare coverage
  • • Generous paid parental leave
  • • Flexible stipends for Health & Wellness, Home Office Setup, Cell Phone & Internet, Learning & Development, Office Space

Additional Information

Location
Austin, Texas (Hybrid)
Type
Full-time
Compensation
OTE Range: $118,000 - $168,000 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
Categories
AI Data Analytics Data Engineering