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Customer Solutions Architect (German Speaking)

dbt Labs

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Job Description

Job Overview

As a Customer Solutions Architect at dbt Labs, you will play a crucial role in helping customers maximize the value of their dbt Cloud deployment. This position involves monitoring customer accounts, leading technical discussions, and providing solutions to data challenges faced by clients. Your efforts will focus on driving customer satisfaction and fostering strong relationships with key stakeholders while contributing to the development of internal processes and playbooks.

Technical Requirements

Required Skills
  • • 2+ years experience in post-sales role
  • • strong understanding of modern data warehousing architectures
  • • SQL proficiency
  • • basic Python competency
Preferred Skills
  • • dbt certification
  • • prior dbt experience
  • • experience with ancillary tools, managing data infrastructure, APIs
Experience Level

Intermediate to Advanced

Responsibilities

  • • Manage a portfolio of Enterprise customers and monitor the health of accounts
  • • Build and maintain strong relationships with key technical stakeholders
  • • Educate customers on new and existing dbt Cloud features
  • • Collaborate with Sales Directors and Solutions Architects
  • • Act as the voice of the customer in product discussions
  • • Create and deliver external facing content through various mediums

Technical Environment

Languages
Tools & Technologies

Benefits & Perks

  • • Unlimited vacation time
  • • Pension Plan
  • • 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
Dublin, Hybrid
Type
Full-time
Compensation
Typical starting salary range is €85,000 - €103,000 EUR

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