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Fivetran

Moves business data into cloud analytics systems

Senior Solutions Architect - Enterprise

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or business intelligence.
  • A strong technical foundation in SQL, data transformation, extract-transform-load (ETL) and extract-load-transform (ELT), and data modeling.
  • A 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.
  • Ability to explain complex technical concepts to 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.

Responsibilities

  • 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 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.

Desired Qualifications

  • 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 third normal form (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.

About the Company

Fivetran

Moves business data into cloud analytics systems

Fivetran moves data from business applications and databases into cloud analytics systems so data teams can work with reliable records instead of building pipelines by hand. Its ready-made connectors handle changes in source tables and software interfaces, reducing the maintenance needed to keep information up to date. Teams also use its transformation tools to turn raw records into datasets for reporting, operations and AI applications. Fivetran charges for usage, measuring the distinct records changed each month and the data models run, with plans for different security and operational needs. Founded in 2012, Fivetran is headquartered in Oakland, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$852.7M
Headquarters
Oakland, CA
Founded
2012

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