Snowflake

1 month ago

Senior Solution Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Solution Engineer at Snowflake acts as a technical trusted advisor, bridging complex data capabilities with business outcomes. You design end-to-end data platforms, lead discovery and value proof engagements, deliver compelling technical presentations, and collaborate with account executives to drive pipelines. You’ll work across data engineering, analytics, AI/ML, and cloud architectures, influencing product teams and customers alike.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries
•Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance)
•Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives
•Partner with Account Executives to drive pipeline, accelerate deals, and close business
•Serve as the voice of the customer back to Product and Engineering teams

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Perks:401kHealth InsuranceDentalVisionRemote WorkLearning BudgetPaid Leave

Key Requirements

•8+ years of experience spanning multiple disciplines: data engineering, analytics, AI/ML, software development, cloud architecture, or technical consulting
•Demonstrated ability to design end-to-end data platforms (ingestion, transformation, orchestration, serving, governance)
•Hands-on proficiency with SQL and at least one programming language (Python, Java, Scala)
•Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tooling (dbt, Spark, Kafka, Airflow, Terraform, or equivalent)
•Proven track record of delivering technical solutions in a customer-facing, pre-sales, or consulting capacity

Experience:Data engineeringAnalyticsAI/MLCloud

Skills:SQLPythonJavaScalaAWSAzureGCPDbtSparkKafkaAirflowTerraform

Languages:English

Tech Stack:SQLPythonJavaScalaAWSAzureGCPDbtSparkKafkaAirflowTerraform

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

1 month ago

Senior Solution Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries
•Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance)
•Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives
•Partner with Account Executives to drive pipeline, accelerate deals, and close business
•Serve as the voice of the customer back to Product and Engineering teams

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Perks:401kHealth InsuranceDentalVisionRemote WorkLearning BudgetPaid Leave

Key Requirements

•8+ years of experience spanning multiple disciplines: data engineering, analytics, AI/ML, software development, cloud architecture, or technical consulting
•Demonstrated ability to design end-to-end data platforms (ingestion, transformation, orchestration, serving, governance)
•Hands-on proficiency with SQL and at least one programming language (Python, Java, Scala)
•Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tooling (dbt, Spark, Kafka, Airflow, Terraform, or equivalent)
•Proven track record of delivering technical solutions in a customer-facing, pre-sales, or consulting capacity

Experience:Data engineeringAnalyticsAI/MLCloud

Skills:SQLPythonJavaScalaAWSAzureGCPDbtSparkKafkaAirflowTerraform

Languages:English

Tech Stack:SQLPythonJavaScalaAWSAzureGCPDbtSparkKafkaAirflowTerraform

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