Databricks

1 month ago

Solutions Architect - Lakebase

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Solutions Architect for the Lakebase product line, partnering with account teams to design and present data-centric solutions for customers in a Territory. Delivers presentations, demos, and collateral; influences product roadmap with field insights; acts as an expert advisor to drive adoption of Databricks Lakehouse capabilities in a high-velocity, customer-facing environment.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
•As a trusted advisor, serve as an expert Solutions Architect and champion building technical credibility with stakeholders to drive product adoption and vision.
•Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
•Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
•Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Key Requirements

•6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
•Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
•Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
•Proficient in programming, debugging, and problem-solving using SQL and Python.
•Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).

Experience:6+ yearsData engineeringData warehousingAIMLCloud

Education:Bachelor's

Skills:CommunicationPresentationLeadershipCollaborationProblem-solving

Languages:English

Tech Stack:SQLPythonAWSAzureGCPBig DataLakehouseAIML

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 month ago

Solutions Architect - Lakebase

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
•As a trusted advisor, serve as an expert Solutions Architect and champion building technical credibility with stakeholders to drive product adoption and vision.
•Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
•Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
•Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Key Requirements

•6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
•Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
•Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
•Proficient in programming, debugging, and problem-solving using SQL and Python.
•Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).

Experience:6+ yearsData engineeringData warehousingAIMLCloud

Education:Bachelor's

Skills:CommunicationPresentationLeadershipCollaborationProblem-solving

Languages:English

Tech Stack:SQLPythonAWSAzureGCPBig DataLakehouseAIML

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