Senior Solutions Architect, Enterprise

<div class="content-intro"><p>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.</p></div><div><strong>Location:</strong> US - Remote - this candidate must be located in the Seattle, Portland, or San Francisco Bay Area to be considered.&nbsp;</div> <div>&nbsp;</div> <div>We’re looking to hire a Solutions Architect, to join the Field Engineering team. As a Solutions Architect, you will lead the evaluation, implementation, and adoption of dbt for our largest enterprise and majors customers.&nbsp;</div> <div>&nbsp;</div> <div><strong>In this role, you can expect to:&nbsp;</strong></div> <div> <ul> <li>Become an expert in designing enterprise-grade data pipelines with dbt Cloud</li> <li>Work hand-in-hand with sales to communicate the technical value of the dbt Labs suite of products</li> <li>Guide customers through proof-of-concept implementations and facilitate trials of dbt Cloud</li> <li>Work with engineering to deploy dbt Cloud in private clouds for enterprise clients</li> <li>Own the full customer lifecycle from pre-sale evaluation to product adoption and expansion</li> <li>Work with product to build and maintain the dbt Cloud enterprise roadmap</li> <li>Build close relationships with our Partners (including companies like Snowflake, AWS, and Databricks) and enable them to adopt and implement dbt for their clients</li> <li>Be an active member of the dbt community</li> </ul> <p><strong>We are looking for someone who has:</strong></p> <ul> <li>4+ years of sales engineering, solutions architecture, or consulting in data operations, analytics, or BI</li> <li>A solid technical background, with experience in SQL, ETL, and data modeling</li> <li>A firm understanding of and ability to discuss modern data warehousing architectures&nbsp;</li> <li>Ability to gather and translate technical and business requirements into concrete solutions</li> <li>Excellent verbal, written, and in-person communication skills to discuss complex topics with both technical and non-technical audiences&nbsp;&nbsp;</li> <li>Ability to operate in an ambiguous and fast-paced work environment</li> <li>A passion for being an inclusive teammate and involved member of the community</li> </ul> <p><strong>Nice to haves:</strong></p> <ul> <li>Prior experien