Snowflake

2 weeks 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

Partner with account executives to drive technical wins across the sales cycle for Snowflake’s AI Data Cloud. You’ll present Snowflake to technical and executive audiences, lead discovery through demos, workshops, and proof-of-concepts, and guide customers on modern data architecture, solution design, and implementation. Translate business challenges into practical solution patterns, build trusted relationships within strategic accounts, and support long-term account growth by representing Snowflake at customer and industry events.

Location: Melbourne

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.
•Lead hands-on customer engagement through discovery sessions, demonstrations, workshops, and proof-of-concept engagements.
•Guide customers on modern data architecture, solution design, and implementation approaches across analytics, data engineering, AI/ML, performance, and governance.
•Maintain competitive knowledge, collaborate with Product/Engineering/Marketing to improve field effectiveness, and represent Snowflake in customer meetings and industry events.

Key Requirements

•Experience 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:Enterprise SaaSTechnical pre-salesAI/ML

Education:Bachelor's in Computer science, engineering, mathematics, or related field

Skills:CommunicationPresentationRelationship-buildingFacilitationPragmatic collaboration

Tech Stack:SnowflakeAIAI/MLETLELTData warehousesData lakesCloud-native data platformsSQLPythonAWSAzureGoogle CloudTableauPower BI

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

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Snowflake

2 weeks 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: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.
•Lead hands-on customer engagement through discovery sessions, demonstrations, workshops, and proof-of-concept engagements.
•Guide customers on modern data architecture, solution design, and implementation approaches across analytics, data engineering, AI/ML, performance, and governance.
•Maintain competitive knowledge, collaborate with Product/Engineering/Marketing to improve field effectiveness, and represent Snowflake in customer meetings and industry events.

Key Requirements

•Experience 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:Enterprise SaaSTechnical pre-salesAI/ML

Education:Bachelor's in Computer science, engineering, mathematics, or related field

Skills:CommunicationPresentationRelationship-buildingFacilitationPragmatic collaboration

Tech Stack:SnowflakeAIAI/MLETLELTData warehousesData lakesCloud-native data platformsSQLPythonAWSAzureGoogle CloudTableauPower BI

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