Staff Solutions Engineer

United States Digital Space LLC; United States; Remote; USD 120,000 - 160,000; Full time

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

From the company’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With the company, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

the company and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. the company helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

About the Role

We’re looking to hire a Solutions Engineer, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and strategic customers, helping them evaluate, adopt, and expand their use of dbt.

You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business.

This is a full-time position based in New York City.Technologies You’ll Use

SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools.

What You’ll Do

• Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria
• Design enterprise-grade data transformation and analytics architectures using dbt
• Partner with Sales to communicate the technical and business value of the dbt platform
• Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate
• Build trusted relationships with technical practitioners, data leaders, and executive stakeholders
• Guide customers through technical architecture, security, governance, and deployment considerations
• Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion
• Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap
• Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem
• Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community

Skills We’re Looking For

• 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI
• Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling
• Strong understanding of modern cloud data warehouse, lake house, and analytics architectures
• Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives
• Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams

Bonus Skills

• Experience with dbt or analytics engineering
• Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms
• Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF
• Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend
• Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives

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