Databricks

3 years ago

Solutions Architect - Manufacturing

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Experienced pre-sales professional specializing in data-driven enterprise transformations. Defines and directs the technical strategy for large accounts, leading ML & AI adoption, value selling, and technical leadership. Works with a team to build proofs of concept and demonstrate Databricks products, focusing on Manufacturing and High Tech, and mentors others while gaining respect for deep expertise in big data, data science, and cloud.

Location: Chicago, San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Serve as the main technical voice for Databricks with multiple clients within the account.
•Lead customers through a transformational journey to evaluate and adopt Databricks as part of their strategy.
•Implement the technical strategy in the account with a close understanding of the overall strategy.
•Build a movement of technical champions within the account to drive adoption.
•Align technical strategies around Databricks solutions and mentor other team members.

Key Requirements

•Pre-sales experience with a track record of helping large enterprises become more data-driven
•Strong background in value selling, technical account management, and technical leadership
•Experience leading proofs of concept and demonstrations of Databricks products
•Technical understanding of ML and AI across multiple use cases in Manufacturing/High Tech
•Production programming experience in Python, R, Scala or Java

Experience:ManufacturingData scienceCloud

Skills:CommunicationLeadershipStakeholder managementPresentationMentorship

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonRScalaJavaDatabricksMLAICloudBig 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

3 years ago

Solutions Architect - Manufacturing

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Chicago, San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Serve as the main technical voice for Databricks with multiple clients within the account.
•Lead customers through a transformational journey to evaluate and adopt Databricks as part of their strategy.
•Implement the technical strategy in the account with a close understanding of the overall strategy.
•Build a movement of technical champions within the account to drive adoption.
•Align technical strategies around Databricks solutions and mentor other team members.

Key Requirements

•Pre-sales experience with a track record of helping large enterprises become more data-driven
•Strong background in value selling, technical account management, and technical leadership
•Experience leading proofs of concept and demonstrations of Databricks products
•Technical understanding of ML and AI across multiple use cases in Manufacturing/High Tech
•Production programming experience in Python, R, Scala or Java

Experience:ManufacturingData scienceCloud

Skills:CommunicationLeadershipStakeholder managementPresentationMentorship

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonRScalaJavaDatabricksMLAICloudBig 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