Snowflake

1 week ago

Solution Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Drive technical wins across the sales cycle by partnering with account executives and cross-functional teams. Work hands-on with enterprise customers to demonstrate the value of the AI Data Cloud through discovery, demos, workshops, and proof-of-concepts. Guide solution design and modern data architecture across analytics, data engineering, AI/ML, performance, and governance, while translating customer challenges into practical solution patterns and advocating for roadmap impact.

Location: Melbourne

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with account executives and cross-functional teams to drive technical wins across the sales cycle.
•Present Snowflake’s vision, platform, and value to technical and executive audiences.
•Demonstrate value with customers via 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 and collaborate with Product, Engineering, and Marketing to improve products and field effectiveness.

Key Requirements

•6+ years in customer-facing solutions engineering, sales engineering, solution architecture, or technical pre-sales.
•Strong competency across modern data stacks, including ETL/ELT, data warehouses, data lakes, analytics, and cloud-native data platforms.
•Experience working with enterprise customers in complex technical and stakeholder environments.
•Hands-on technical capability, including SQL and Python.
•Ability to connect customer technical and business challenges to practical Snowflake solutions.

Experience:6+ yearsEnterpriseData engineeringAnalyticsAI/ML

Skills:CommunicationPresentationRelationship-buildingCollaborationSelf-starter

Tech Stack:SQLPythonETL/ELTData warehousesData lakesAnalyticsCloud-native data platformsAI/MLPerformanceGovernance

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Snowflake

1 week ago

Solution Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Melbourne

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with account executives and cross-functional teams to drive technical wins across the sales cycle.
•Present Snowflake’s vision, platform, and value to technical and executive audiences.
•Demonstrate value with customers via 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 and collaborate with Product, Engineering, and Marketing to improve products and field effectiveness.

Key Requirements

•6+ years in customer-facing solutions engineering, sales engineering, solution architecture, or technical pre-sales.
•Strong competency across modern data stacks, including ETL/ELT, data warehouses, data lakes, analytics, and cloud-native data platforms.
•Experience working with enterprise customers in complex technical and stakeholder environments.
•Hands-on technical capability, including SQL and Python.
•Ability to connect customer technical and business challenges to practical Snowflake solutions.

Experience:6+ yearsEnterpriseData engineeringAnalyticsAI/ML

Skills:CommunicationPresentationRelationship-buildingCollaborationSelf-starter

Tech Stack:SQLPythonETL/ELTData warehousesData lakesAnalyticsCloud-native data platformsAI/MLPerformanceGovernance

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn