Solutions Engineer, Commercial (Austin)

About the job

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.

Solutions Engineer, Commercial (Austin)

About the role

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.

You’ll be a trusted advisor to a wide range of customers, from fast-growing startups to established enterprise data teams, helping them solve real business problems with our platform and playing a key role in winning deals and driving the business forward.

Internally, you’ll partner closely with Account Executives, contribute to building and refining our processes and playbooks as the two teams integrate, and act as the voice of the customer to ensure we continue developing products that solve real problems and delight our users.

Location: Austin, TX (hybrid). This is a full-time position, and candidates must be located in Austin and able to work in the office two days a week (Tuesday and Thursday).

What you'll do

• 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, from ingestion through modeling to analytics and AI
• Lead structured, curiosity-driven discovery that qualifies opportunities early and maps technical requirements to business outcomes, success criteria, and the customer’s decision process
• Own the demonstration of technical and business impact by delivering tailored demos and technical presentations of the platform to both technical and business audiences
• Articulate business value, not just features: work with your Account Executive to build the business case (e.g. time-to-value, cost savings, ROI) and tell a clear, data-backed story to technical and executive stakeholders
• Ensure the technical win by running an organized proof-of-value process, from defining success criteria through final readout
• Design and architect scalable, reliable data solutions, and guide customers through architectural questions, including source systems, cloud and on-premises networking, self-hosted and SaaS deployment options, and security requirements
• Collaborate closely with Account Executives by building strong, trust-based relationships and offering strategic input throughout the deal process, including account planning, opportunity prioritization/qualification, and pipeline generation strategy
• Proactively generate demand in your territory through technical initiatives such as workshops, webinars, industry events, and account-based marketing activities
• Maintain ongoing relationships with technical stakeholders within your accounts, build champions, and identify opportunities where customers can benefit from both products
• Partner with Product, Engineering, and other internal teams to represent the voice of the customer, relay field feedback, and drive improvements across the combined company
• Contribute to our knowledge-sharing loop by helping improve team processes, refining assets and playbooks, and enabling and mentoring teammates through collaboration
• Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources
• Use AI tools to work smarter across research, discovery preparation, demo building, and follow-up, and help customers shape practical AI use cases on trusted, well-modeled data
• Stay up to date on the latest technologies and trends in the data industry through ongoing training and certification, and help teammates work through advanced technical or business roadblocks

What you bring

• 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 in a clear and compelling manner to both technical and business leadership
• Business acumen and value storytelling: you connect technical capabilities to business outcomes and can talk about how a customer’s processes improve, not only how the product works
• Genuine curiosity and empathy in customer conversations: active listening, asking the next question, and understanding what success looks like for the buyer
• Strong problem-solving and analytical skills, and the ability to operate effectively in ambiguous, fast-paced environments, adapt quickly, and think on your feet during customer conversations
• Experience working asynchronously as part of a partially remote, distributed team
• A strong team-player mindset, both within the SE team as we evolve our ways of working and in daily collaboration with Account Executives as part of a deal team
• Openness to travel (up to 25%); we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed
• A Bachelor’s degree or equivalent work experience

What Will Make You Stand Out

• 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 sources such as 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 popular 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 (e.g. Snowflake, Databricks)
• Practical, everyday use of AI tools in your pre-sales workflow

Hiring Process

• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Technical Interview
• Team Interview
• Final Panel Interview

OTE (On Target Earning)

$160,000—$190,000 USD

Perks and Benefits