Solution Engineer - Snowflake Data Platform

• Lead technical discovery sessions to understand client data landscapes, pain points, and success criteria.
• Design Snowflake-centered reference architectures spanning ingestion, transformation, BI, and the AI/ML layer (e.g., medallion patterns: Fivetran/Hevo * Snowflake * dbt * Tableau/Power BI + Cortex/AI).
• Build and deliver tailored demos, proofs-of-concept, and technical workshops - on-site and remote - that demonstrate measurable business value.
• Support RFP/RFI responses, proposal development, solution sizing, and pricing inputs in partnership with the BD team.
• Drive Snowflake co-sell motions alongside our alliance partners and contribute to joint go-to-market plays.
• Position PROLIM's AI-readiness framework and Cortex-based solutions as differentiators, especially within FSI.
• Serve as a trusted technical advisor to client stakeholders, from data engineers to CDOs and CTOs.
• Capture field feedback to refine reusable assets, accelerators, and demo environments.

Do you have experience in Workshop facilitation?, * 4+ years in solution engineering, presales, data engineering, or data architecture, with meaningful hands-on Snowflake experience.

• Strong command of the Snowflake platform (virtual warehouses, RBAC, data sharing, performance/cost optimization, Snowpark, and Cortex fundamentals).
• Proficiency in SQL and modern data modeling; familiarity with ELT tooling and transformation frameworks (e.g., dbt).
• Experience designing end-to-end data architectures across ingestion, storage, transformation, and BI.
• Excellent communication and storytelling skills - able to present credibly to both technical and executive audiences.
• Customer-facing presence with a consultative, value-selling mindset.
• Willingness to travel for customer workshops and engagements across the U.S. as needed.

Nice to Have (Preferred)

• SnowPro Core and/or SnowPro Advanced certification.
• Hands-on experience with Fivetran or Hevo, dbt, and Tableau or Power BI.
• Exposure to AI/ML on Snowflake (Cortex) or LLM-based solutions.
• Financial Services domain knowledge (private equity, banking, insurance) or experience with regulated-industry data.
• Experience with SAP-to-Snowflake data integration patterns.
• Background working within a systems integrator or partner/co-sell environment.

Pulled from the full job description

• Health insurance
• Paid time off
• Vision insurance
• Dental insurance, * Dental insurance
• Health insurance
• Paid time off
• Vision insurance