Solutions engineer, commercial

As a Solutions Engineer (SE) on our team, you will help prospects understand the value of the combined Fivetran and dbt platform across the full data lifecycle: moving, transforming, and trusting their data. You'll lead technical discussions with prospective customers, uncover their data challenges, identify their technical requirements, and demonstrate how our products work together through live demos, technical workshops, and structured proofs of value.

Responsibilities

Spend the majority of your time on pre-sales opportunities, working with customers to understand their business, use cases, and requirements for data movement, transformation, and governance; Consult with prospects to uncover their data challenges and show how Fivetran and dbt together can alleviate pain points and support their goals; Lead structured, curiosity-driven discovery that qualifies opportunities early and maps technical requirements to business outcomes; Own the demonstration of technical and business impact by delivering tailored demos and technical presentations; Articulate business value and work with your Account Executive to build the business case; Ensure the technical win by running an organized proof-of-value process; Design and architect scalable, reliable data solutions and guide customers through architectural questions; Collaborate closely with Account Executives on account planning, opportunity prioritization, and pipeline generation; Proactively generate demand in your territory through workshops, webinars, industry events, and account-based marketing; Maintain ongoing relationships with technical stakeholders and build champions; Partner with Product, Engineering, and other internal teams to represent the voice of the customer; Contribute to knowledge-sharing by improving team processes, refining assets and playbooks, and mentoring teammates; Create and deliver external-facing content; Use AI tools to work smarter across research, discovery, demo building, and follow-up; Stay up to date on data industry technologies and trends

Requirements

2+ years of related industry experience (ideally 5–8) in data replication, sales engineering, analytics engineering, data consulting, or a related technical field, including at least 2 years in a customer-facing role; Strong technical foundation in modern data architectures, including cloud data warehouses, the modern data stack, and proficiency in SQL; Hands-on experience with other data replication or traditional ETL tools; Experience with transformation tooling, data catalogs, and BI tools; Working knowledge of cloud infrastructure and networking, both in the cloud and on-premises; Demonstrated ability to work with customers to review complex existing architectures and provide guidance on how to improve them by leveraging technology; Ability to work with a cross-functional sales team to formulate and execute an end-to-end deal cycle; Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts to both technical and business leadership; Business acumen and value storytelling; Genuine curiosity and empathy in customer conversations; Strong problem-solving and analytical skills, and the ability to operate effectively in ambiguous, fast-paced environments; Experience working asynchronously as part of a partially remote, distributed team; A strong team-player mindset; Openness to travel (up to 25%); A Bachelor's degree or equivalent work experience

Nice to have

Hands-on experience with dbt; dbt certification is a bonus; Basic Python competency and advanced SQL knowledge; Proven experience in a pre-sales technical role; Hands-on experience with database replication and data movement, including Oracle, SQL Server, Postgres, MySQL, and NoSQL databases; Hands-on experience on Snowflake, Databricks, Google BigQuery and/or other cloud data platforms; Experience with self-hosted and SaaS software applications and their supporting infrastructure; Specialized expertise in security posture; Experience developing partner relationships; Understanding of sales methodologies/frameworks such as MEDDPICC or Command of the Message; Experience in data engineering or AI/ML projects; A cloud provider certification (AWS, Azure, GCP) or a data platform certification; Practical, everyday use of AI tools in your pre-sales workflow

Benefits

100% employer-paid medical insurance (may vary by country and worker type); Generous paid time away from work, including paid vacation or flexible/unlimited vacation, paid sick time, inclusive parental leave, paid holidays including a year-end Global Week of Rest, and volunteer days off; RSU stock grants (may vary by country and worker type); Professional development and training opportunities; Company virtual happy hours, free food, and team-building activities; Monthly cell phone stipend; Access to a mental health support platform for covered employees and dependents