Databricks

1 week ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Own customer technical relationships within your assigned UK&I territory, partnering with Account Executives to demonstrate the Databricks Data Intelligence Platform. Serve as a trusted advisor on data and AI architecture, leading solution design, validation, and adoption. Create reference architectures, how-tos, demo applications, and run workshops and meet-ups to scale best practices across the region. Work hands-on from discovery through proofs of concept and implementation.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Build and maintain successful client relationships in your assigned territory in collaboration with Account Executives.
•Act as a trusted advisor and expert on architecture, design, and implementation to drive adoption of the Databricks Data Intelligence Platform.
•Author reference architectures, how-tos, and demo applications; lead workshops, seminars, and meet-ups to scale best practices.
•Help customers design, validate, and adopt modern data and AI architectures on the Databricks platform.
•Develop into a technical and/or industry specialist through continued growth and hands-on engagement.

Travel: Medium travel

Key Requirements

•Experience in solutions architecture, technical consulting, or pre-sales with a hands-on approach to solving customer problems.
•Strong capability in at least one or two areas such as Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development.
•Prior experience coding in a core programming language such as Python or SQL, and willingness to learn base Spark.
•Hands-on experience with modern data and analytics technologies, including public cloud platforms, plus technical validation work like prototypes or proofs of concept.
•Ability to run use case discovery, scoping, and deliver complex solution architecture designs for multiple audiences.

Experience:Big data analyticsData engineeringData warehousingAI/MLGenAIPublic cloudProof of concept

Skills:Customer-focusedRelationship buildingTechnical communicationSolution architectureProblem-solving

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonSQLSparkDatabricks Data Intelligence PlatformBig data analyticsAI/MLGenAIAI AgentsPublic cloud platformsProofs of conceptReference architecturesWorkshopsSeminarsMeet-ups

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 week ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Build and maintain successful client relationships in your assigned territory in collaboration with Account Executives.
•Act as a trusted advisor and expert on architecture, design, and implementation to drive adoption of the Databricks Data Intelligence Platform.
•Author reference architectures, how-tos, and demo applications; lead workshops, seminars, and meet-ups to scale best practices.
•Help customers design, validate, and adopt modern data and AI architectures on the Databricks platform.
•Develop into a technical and/or industry specialist through continued growth and hands-on engagement.

Travel: Medium travel

Key Requirements

•Experience in solutions architecture, technical consulting, or pre-sales with a hands-on approach to solving customer problems.
•Strong capability in at least one or two areas such as Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development.
•Prior experience coding in a core programming language such as Python or SQL, and willingness to learn base Spark.
•Hands-on experience with modern data and analytics technologies, including public cloud platforms, plus technical validation work like prototypes or proofs of concept.
•Ability to run use case discovery, scoping, and deliver complex solution architecture designs for multiple audiences.

Experience:Big data analyticsData engineeringData warehousingAI/MLGenAIPublic cloudProof of concept

Skills:Customer-focusedRelationship buildingTechnical communicationSolution architectureProblem-solving

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonSQLSparkDatabricks Data Intelligence PlatformBig data analyticsAI/MLGenAIAI AgentsPublic cloud platformsProofs of conceptReference architecturesWorkshopsSeminarsMeet-ups

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