Senior Solutions Architect

Role overview

Act as a technical advisor to large enterprise customers evaluating and adopting a data transformation and analytics platform. You’ll connect business goals with technical requirements, design solution architectures, and guide evaluations through to adoption. The role works closely with Sales and customer teams, while bringing customer needs and field insights back to Product and Engineering.

Responsibilities - Lead technical discovery and translate customer requirements into business outcomes and measurable success criteria. - Design enterprise data transformation and analytics architectures using dbt. - Partner with Sales to explain technical capabilities and customer value. - Lead evaluations, trials, and proof-of-value engagements as appropriate. - Advise technical practitioners, data leaders, and executives on architecture, security, governance, and deployment. - Support adoption and expansion, share customer insights with internal product teams, and build relationships with technology and consulting partners.

Requirements - 4+ years in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role in data, analytics, or business intelligence. - Strong foundation in SQL, data transformation, ETL/ELT, and data modeling. - Understanding of modern cloud data warehouse, lakehouse, and analytics architectures. - Ability to uncover customer needs and communicate technical recommendations to a range of stakeholders. - Experience guiding technical evaluations and working across customer and internal teams.

Nice to have - Familiarity with cloud warehouses and lakehouses such as Snowflake, Databricks, or BigQuery, and cloud platforms such as AWS, Azure, or GCP. - Experience with modern data integration or orchestration tools and AI-assisted productivity tools. - Relationships or experience with technology and consulting partners in the data ecosystem.

Benefits and work setup

This is a full-time role based in the New York City metropolitan area. The listed benefits include employer-paid medical coverage, paid leave, stock grants, professional development, a phone stipend, and mental health resources; coverage may vary by location and worker type.