Databricks

2 weeks ago

Sr. Solutions Engineer - FSI

✓ 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 strategy for Databricks’ largest FSI enterprise accounts as the primary pre-sales technical voice. Partner with Enterprise Account Executives to guide customers through data and AI adoption, lead account transformational journeys, and align technical strategies around Databricks solutions. Work with hands-on resources to support proofs of concept, build a network of technical champions, and collaborate across sales and technical peers to deliver business outcomes.

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Act as the main technical voice for multiple Databricks clients.
•Define and implement the technical strategy for large enterprise accounts in alignment with account strategy.
•Lead customers on transformational journeys to evaluate and adopt Databricks as part of their strategy.
•Build a movement of technical champions within accounts and align technical strategies around Databricks solutions.
•Collaborate with the sales team and technical peers to drive client business outcomes.

Pay and Benefits

Salary: CAD 139,700 - 192,050

Equity and Bonus:Equity

Key Requirements

•Proven ability to establish and lead virtual teams to success within an enterprise account.
•Experience working with very large global accounts (>$1m ARR) and building relationships with executives and influencers.
•Ability to present a compelling point of view to decision-makers that leads customers to successful adoption.
•Technical background in big data, data science, and cloud (Azure and AWS), including data-driven business transformation.
•Production programming experience in Python, R, Scala, or Java.

Experience:EnterpriseBig dataData scienceCloudML/AI

Skills:Value sellingTechnical account managementTechnical leadershipRelationship buildingExecutive communicationLeading teams

Certifications:Databricks certificationSnowflake certificationAWS certificationAzure certification

Languages:English

Tech Stack:DatabricksPythonRScalaJavaAzureAWSSnowflakeMLAIBig data

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

2 weeks ago

Sr. Solutions Engineer - FSI

✓ 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: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Act as the main technical voice for multiple Databricks clients.
•Define and implement the technical strategy for large enterprise accounts in alignment with account strategy.
•Lead customers on transformational journeys to evaluate and adopt Databricks as part of their strategy.
•Build a movement of technical champions within accounts and align technical strategies around Databricks solutions.
•Collaborate with the sales team and technical peers to drive client business outcomes.

Pay and Benefits

Salary: CAD 139,700 - 192,050

Equity and Bonus:Equity

Key Requirements

•Proven ability to establish and lead virtual teams to success within an enterprise account.
•Experience working with very large global accounts (>$1m ARR) and building relationships with executives and influencers.
•Ability to present a compelling point of view to decision-makers that leads customers to successful adoption.
•Technical background in big data, data science, and cloud (Azure and AWS), including data-driven business transformation.
•Production programming experience in Python, R, Scala, or Java.

Experience:EnterpriseBig dataData scienceCloudML/AI

Skills:Value sellingTechnical account managementTechnical leadershipRelationship buildingExecutive communicationLeading teams

Certifications:Databricks certificationSnowflake certificationAWS certificationAzure certification

Languages:English

Tech Stack:DatabricksPythonRScalaJavaAzureAWSSnowflakeMLAIBig data

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn