Solutions Architect, Snowflake & Anthropic

About the role

BlueYeti is seeking a Data & AI Solutions Architect who will both sell and deliver end‑to‑end solutions on Snowflake and Anthropic’s Claude. You will work directly with finance, operations and data leaders, guiding them from discovery through to production, and own the full lifecycle of each engagement.

Key responsibilities

• Lead technical discovery sessions, translate business problems into architecture, and produce estimates, work breakdowns and staffing plans.
• Design and build end‑to‑end solutions on Snowflake, including ingestion, modeling, transformation, security, governance, performance and cost management.
• Architect AI‑enabled solutions that combine Snowflake, Cortex and Anthropic Claude, such as natural‑language analytics, document extraction, agents and workflow automation.
• Own technical delivery from kickoff to production hand‑off, including building pipelines, data models, AI features, testing, deployment and documentation.
• Mentor engineers, create reusable assets, and collaborate with Snowflake and Anthropic partner teams on joint opportunities.

Required profile

• 5+ years in a solutions architect, data architect or technical consulting role, preferably in a consultancy or customer‑facing environment.
• Strong hands‑on experience with Snowflake, data modeling, SQL and Python, and modern data‑stack tools such as dbt, Fivetran and BI platforms.
• Demonstrated ability to scope projects, produce SOWs and deliver them hands‑on.
• Experience building with large language models, especially Anthropic’s Claude API, and a clear view of AI’s role in data workflows.
• Fully bilingual in English and Spanish and comfortable working in a fast‑moving startup.

Required skills

• Snowflake (Cortex AI functions, Snowpark, Streamlit)
• Anthropic Claude API
• Python
• SQL
• dbt
• Fivetran (or similar ELT/ingestion tools)
• PowerBI, Tableau, DOMO
• Data modeling and pipeline development

What we offer

• Opportunity to grow with a consultancy at an exciting stage.
• Meaningful work at the intersection of Snowflake and applied AI.
• Collaborative, supportive team culture built on “No Ego, No Drama”.
• Competitive compensation commensurate with experience.
• Flexible, remote‑first work environment.