Databricks

4 months ago

Sr. Solutions Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Senior Solutions Engineer at Databricks focusing on pre‑sales technical engagements, solution architecture, and customer storytelling to demonstrate the Databricks Data Intelligence Platform. You’ll work with Account Executives and Senior Solutions Architects to build reference architectures, run Spark-based evaluations, and help customers derive business value from data analytics in a cloud context.

Location: Stockholm, Finland

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.
•Lead hands-on evaluation with Spark programming and cloud integration to demonstrate Databricks capabilities to clients and partners.
•Contribute to building the Databricks technical community through workshops, seminars, and meet-ups.
•Become a Big Data Analytics advisor on architecture and design aspects of customer solutions.
•Support customers by authoring reference architectures, how-tos, and demo applications.

Key Requirements

•Code in Python or SQL.
•Knowledge in a core Big Data Analytics domain and familiarity with a major public cloud platform.
•Experience diving deeper into solution architecture and Data Engineering.
•Ability to independently deliver a technical proposition and articulate customer pain-points into business value.
•Strong client-facing, storytelling, and pre-sales capabilities.

Experience:Big Data AnalyticsCloud

Skills:CommunicationPresentationCollaborationProblem-solving

Languages:English

Tech Stack:PythonSQLSparkCloudDelta LakeMLflow

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 months ago

Sr. Solutions Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Stockholm, Finland

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.
•Lead hands-on evaluation with Spark programming and cloud integration to demonstrate Databricks capabilities to clients and partners.
•Contribute to building the Databricks technical community through workshops, seminars, and meet-ups.
•Become a Big Data Analytics advisor on architecture and design aspects of customer solutions.
•Support customers by authoring reference architectures, how-tos, and demo applications.

Key Requirements

•Code in Python or SQL.
•Knowledge in a core Big Data Analytics domain and familiarity with a major public cloud platform.
•Experience diving deeper into solution architecture and Data Engineering.
•Ability to independently deliver a technical proposition and articulate customer pain-points into business value.
•Strong client-facing, storytelling, and pre-sales capabilities.

Experience:Big Data AnalyticsCloud

Skills:CommunicationPresentationCollaborationProblem-solving

Languages:English

Tech Stack:PythonSQLSparkCloudDelta LakeMLflow

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