Databricks

1 year ago

Senior Solutions Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Senior Solutions Engineer at a data and AI platform company, focusing on pre-sales, solution architecture, and hands-on data tech with clients. You’ll translate customer needs into Databricks-based architectures, leverage Python and Spark, engage with cloud ecosystems, and help build reference architectures and demos while growing into an independently operating SA role.

Location: Aarhus

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Form relationships with clients and provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
•Conduct hands-on evaluation with Spark programming and cloud ecosystem integration to engage clients.
•Contribute to Databricks community through workshops, seminars, and meet-ups.
•Advise on Big Data Analytics architecture and design aspects.
•Author reference architectures, how-tos, and demo applications to support customers.

Key Requirements

•Code in Python.
•Knowledgeable in Big Data Analytics and data engineering with exposure to a major public cloud platform.
•Experience in solution architecture and pre-sales activities.
•Ability to deliver a technical proposition and articulate business value to customers.
•Experience building reference architectures, how-tos, and demo applications.

Experience:Big data analyticsCloud computing

Skills:Customer-facingCommunicationCollaborationProblem-solvingPresentation

Languages:English

Tech Stack:PythonSparkCloudData engineeringDatabricks

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

1 year ago

Senior Solutions Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Aarhus

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Form relationships with clients and provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
•Conduct hands-on evaluation with Spark programming and cloud ecosystem integration to engage clients.
•Contribute to Databricks community through workshops, seminars, and meet-ups.
•Advise on Big Data Analytics architecture and design aspects.
•Author reference architectures, how-tos, and demo applications to support customers.

Key Requirements

•Code in Python.
•Knowledgeable in Big Data Analytics and data engineering with exposure to a major public cloud platform.
•Experience in solution architecture and pre-sales activities.
•Ability to deliver a technical proposition and articulate business value to customers.
•Experience building reference architectures, how-tos, and demo applications.

Experience:Big data analyticsCloud computing

Skills:Customer-facingCommunicationCollaborationProblem-solvingPresentation

Languages:English

Tech Stack:PythonSparkCloudData engineeringDatabricks

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