Enterprise Data Solutions Architect

United States Digital Space LLC

United States

Remote

USD 120,000 - 160,000

Full time

4 days ago
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Job summary

dbt Labs is seeking an Enterprise Solutions Engineer in New York City to serve as a trusted technical advisor for large strategic customers. You will evaluate, design, and expand usage of the dbt platform across the customer lifecycle.

You’ll partner with Sales and cross-functional teams to deliver measurable value, drive adoption, and contribute best practices to the Field Engineering organization and dbt community.

Qualifications

  • 4+ years in sales engineering, solutions architecture, or similar client-facing tech roles.
  • Strong background in SQL, data transformation, ETL/ELT, and data modeling.
  • Excellent written and verbal communication with ability to explain complex concepts.

Responsibilities

  • Lead technical discovery with enterprise customers, linking technical requirements to outcomes.
  • Design enterprise-grade data transformation and analytics architectures using dbt.
  • Partner with Sales to communicate technical and business value of the dbt platform.
  • Lead evaluations and validation, including trials and value demonstrations.
  • Build trusted relationships with practitioners, data leaders, and senior stakeholders.
  • Guide customers through architecture, security, governance, and deployment considerations.
  • Collaborate across lifecycle to drive adoption and identify expansion opportunities.
  • Provide feedback to Product and Engineering to influence roadmap, and engage with partners.

Skills

Sales engineering
Solutions architecture
Data analytics
SQL
ETL/ELT
Data modeling
Cloud data warehousing
Communication skills
Stakeholder management

Tools

dbt
Snowflake
Databricks
BigQuery
AWS
Azure
GCP

Job description

dbt Labs is seeking an Enterprise Solutions Engineer in New York City to serve as a trusted technical advisor for large strategic customers. You will evaluate, design, and expand usage of the dbt platform across the customer lifecycle.

You’ll partner with Sales and cross-functional teams to deliver measurable value, drive adoption, and contribute best practices to the Field Engineering organization and dbt community.

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