Senior Solutions Architect, Enterprise

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, 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 Fivetran 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. Fivetran 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. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most 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 the Pacific Northwest. 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 Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training,