AI-Driven Solutions Engineer—Data & Cloud

PreSales Collective

The Rocks

In loco

AUD 140.000 - 210.000

Tempo pieno

2 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Snowflake is seeking a Solution Engineer to solve complex data challenges and help enterprises realize the full potential of the AI Data Cloud. You will partner with sales, present to technical and executive audiences, and lead hands-on demonstrations, workshops, and proof-of-concept engagements.

With 6+ years in customer-facing roles, you will guide customers on modern data architecture and ensure adoption of Snowflake solutions across analytics, data engineering, AI/ML, and governance.

Competenze

  • 6+ years in customer-facing solutions engineering or pre-sales.
  • Strong hands-on capability with SQL and Python.
  • Experience with enterprise customers in complex environments.

Mansioni

  • Partner with account executives and cross-functional teams to drive the technical win across the sales cycle.
  • Present Snowflake’s vision, platform, and value to technical and executive audiences.
  • Work hands-on with customers to demonstrate the value of Snowflake through discovery, demonstrations, workshops, and proof-of-concept engagements.
  • Guide customers on modern data architecture, solution design, and implementation considerations across analytics, data engineering, AI/ML, performance, and governance.
  • Translate customer business challenges into practical solution patterns that drive adoption and long-term value.

Conoscenze

SQL
Python

Descrizione del lavoro

Snowflake is seeking a Solution Engineer to solve complex data challenges and help enterprises realize the full potential of the AI Data Cloud. You will partner with sales, present to technical and executive audiences, and lead hands-on demonstrations, workshops, and proof-of-concept engagements.

With 6+ years in customer-facing roles, you will guide customers on modern data architecture and ensure adoption of Snowflake solutions across analytics, data engineering, AI/ML, and governance.

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