Databricks

2 months ago

Senior Solutions Architect - Digital Natives

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Senior Solutions Architect for Startup & Digital Native customers in the Nordics, shaping technical pre-sales engagements around the Databricks Lakehouse platform. You’ll coach teams, influence stakeholders, and develop strategies and collateral to drive adoption of data analytics solutions across complex customer environments.

Location: Stockholm

Workplace: Hybrid

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Develop customer engagement strategies in partnership with Account Executive(s) for Startup & Digital Native customers in the Nordics region.
•Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
•Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
•Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
•Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

Travel: Medium travel

Key Requirements

•Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong AI-Builder mindset.
•Experience working with and/or within Startups and Digital Native organisations; beneficial for this role.
•Ability to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity; able to influence decision-makers and C-level executives.
•Skilled in coding with one or more core programming languages (Python, SQL, Scala, Java) plus foundational knowledge of Apache Spark; ability to upskill quickly in distributed computing technologies.
•Hands-on expertise with complex proofs-of-concept and public cloud (AWS, Azure, GCP) / modern data platforms; Databricks certifications are helpful.

Experience:Data analyticsData engineeringAIGenAICloud

Skills:CommunicationLeadershipCollaborationProblem-solvingPresentation

Languages:English

Tech Stack:PythonSQLScalaJavaApache SparkAWSAzureGCPDatabricksLakehouse

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 months ago

Senior Solutions Architect - Digital Natives

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Stockholm

Workplace: Hybrid

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Develop customer engagement strategies in partnership with Account Executive(s) for Startup & Digital Native customers in the Nordics region.
•Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
•Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
•Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
•Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

Travel: Medium travel

Key Requirements

•Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong AI-Builder mindset.
•Experience working with and/or within Startups and Digital Native organisations; beneficial for this role.
•Ability to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity; able to influence decision-makers and C-level executives.
•Skilled in coding with one or more core programming languages (Python, SQL, Scala, Java) plus foundational knowledge of Apache Spark; ability to upskill quickly in distributed computing technologies.
•Hands-on expertise with complex proofs-of-concept and public cloud (AWS, Azure, GCP) / modern data platforms; Databricks certifications are helpful.

Experience:Data analyticsData engineeringAIGenAICloud

Skills:CommunicationLeadershipCollaborationProblem-solvingPresentation

Languages:English

Tech Stack:PythonSQLScalaJavaApache SparkAWSAzureGCPDatabricksLakehouse

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