Senior Solutions Architect

Fivetran • New York, NY

3d • $219,463 - $274,329

About The Position

Fivetran and dbt Labs are bringing together their data infrastructure capabilities to help organizations move, transform, and trust their data. The Senior Solutions Architect will join the Field Engineering team as a trusted technical advisor to large and strategic customers, helping them evaluate, adopt, and expand their use of dbt.

The role partners closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value during evaluations. It supports customers across the lifecycle, from technical discovery and evaluation through adoption and expansion, and works with Product, Engineering, and technology partners to bring customer needs back into the business. The position is full-time and based in the New York City metro area.

Technologies used include SQL, dbt, cloud data warehouses and lakehouses such as Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools. The position qualifies for Fivetran’s incentive plan, with stated on-target earnings of $219,463.15–$274,329.23 USD.

Requirements

• At least 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, lakehouse, and analytics architectures.
• Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes.
• Excellent written and verbal communication skills, including explaining complex technical concepts to technical and non-technical audiences.
• Ability to establish credibility and build trusted relationships with stakeholders from data practitioners to senior executives.
• Ability to work effectively in a fast-paced, evolving environment and collaborate across Sales, Product, Engineering, and Customer teams.

Nice To Haves

• 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.

Responsibilities

• Lead technical discovery with enterprise customers, linking 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 on technical architecture, security, governance, and deployment considerations.
• Support successful adoption throughout the customer lifecycle and identify opportunities for expansion.
• Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap.
• Build relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other modern data ecosystem members.
• Contribute technical expertise, reusable best practices, and thought leadership to Field Engineering and the dbt community.

Benefits

• 100% employer-paid medical insurance.
• Paid time away, including paid vacation or flexible/unlimited vacation depending on role and country, and paid sick time.
• Inclusive parental leave.
• Paid holidays, including a year-end Global Week of Rest.
• Volunteer days off.
• RSU stock grants.
• 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 offering therapy, coaching, and self-guided mindfulness resources for covered employees and dependents.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed