3 hours ago
Responsibilities
- Lead technical discovery with enterprise customers and connect technical requirements to measurable business outcomes.
- 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, trials, and proof-of-value engagements.
- Guide customers through architecture, security, governance, and deployment considerations.
- Support customer adoption, identify expansion opportunities, and build relationships with technical and executive stakeholders.
- Bring customer and field insights to Product and Engineering to influence product strategy and the roadmap.
- Build relationships with technology and consulting partners and contribute technical expertise, reusable practices, and thought leadership.
Requirements
- 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or business intelligence.
- Strong foundation in SQL, data transformation, ETL/ELT, and data modeling.
- Strong understanding of modern cloud data warehouse, lakehouse, and analytics architectures.
- Ability to translate technical and business requirements into concrete solutions and measurable outcomes.
- Excellent written and verbal communication skills for technical and non-technical audiences.
- Ability to establish credibility with data practitioners, data leaders, and senior executives.
- Ability to collaborate effectively across Sales, Product, Engineering, and Customer teams.
- Preferred experience with dbt, analytics engineering, Snowflake, Databricks, BigQuery, enterprise data integration or ETL platforms, and complex technical evaluations, migrations, or transformation initiatives.
- Preferred familiarity with dimensional modeling, Kimball, Data Vault, or 3NF methodologies, and platforms such as Informatica, Boomi, or Talend.
Benefits
- Full-time position based in the New York City metro area.
- Eligibility for Fivetran’s incentive plan.
- 100% employer-paid medical insurance, with availability varying by country and worker type.
- Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants, professional development and training, monthly cell phone stipend, and team-building activities.
- Mental health support platform with therapy, coaching, and self-guided mindfulness resources for covered employees and dependents.
Tech Stack
Categories
Solutions Engineering
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.