Databricks

4 weeks ago

Sr. Solutions 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

As a Sr. Solutions Engineer at Databricks, you will translate customer data challenges into compelling Databricks-based solutions, work with an Account Executive and Senior Solutions Architect, and guide customers through hands-on evaluations of Spark on the Databricks platform, shaping architecture and data engineering decisions while building the technical community.

Location: Stockholm

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Form successful relationships with clients throughout the assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
•Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
•Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
•Become a Big Data Analytics advisor on aspects of architecture and design.
•Support your customers by authoring reference architectures, how-tos, and demo applications.

Key Requirements

•Proficient in Python with hands-on experience in Spark and Databricks.
•Experience in solution architecture and data engineering within the big data analytics domain.
•Ability to independently deliver a technical proposition and articulate business value to customers.
•Familiarity with cloud ecosystems and integrating with third-party applications.
•Strong client-facing skills and ability to build trusted advisor relationships.

Experience:Big Data AnalyticsCloudSparkDatabricksData engineering

Skills:PythonSparkDatabricksCloudCommunicationPresentationProblem-solving

Languages:English

Tech Stack:PythonSparkDatabricksCloudAWSAzureGCP

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

4 weeks ago

Sr. Solutions 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: Stockholm

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Form successful relationships with clients throughout the assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
•Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
•Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
•Become a Big Data Analytics advisor on aspects of architecture and design.
•Support your customers by authoring reference architectures, how-tos, and demo applications.

Key Requirements

•Proficient in Python with hands-on experience in Spark and Databricks.
•Experience in solution architecture and data engineering within the big data analytics domain.
•Ability to independently deliver a technical proposition and articulate business value to customers.
•Familiarity with cloud ecosystems and integrating with third-party applications.
•Strong client-facing skills and ability to build trusted advisor relationships.

Experience:Big Data AnalyticsCloudSparkDatabricksData engineering

Skills:PythonSparkDatabricksCloudCommunicationPresentationProblem-solving

Languages:English

Tech Stack:PythonSparkDatabricksCloudAWSAzureGCP

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