Databricks

1 month ago

Senior Solutions Architect - Lakebase

✓ 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

Senior Solutions Architect for the Lakebase product line, partnering with Account Executives to design and present solutions across territories. Owns go-to-market engagement, develops demos and assets, and mentors clients through workshops, shaping adoption, while feeding field insights back to Product and Engineering to influence roadmaps.

Location: Amsterdam

Workplace: Onsite

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

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.
•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 architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
•Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.

Experience:6+ yearsData engineeringData warehousingAIMLGo-to-market

Education:Bachelor's in Technical field (e.g., Computer Science, Applied Mathematics, Engineering)

Skills:CommunicationPresentationInfluenceTeamworkProblem-solving

Languages:English

Tech Stack:SQLPythonAWSAzureGCPBig DataLakehouseMLAI

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

Senior Solutions Architect - Lakebase

✓ 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: Amsterdam

Workplace: Onsite

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

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.
•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 architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
•Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.

Experience:6+ yearsData engineeringData warehousingAIMLGo-to-market

Education:Bachelor's in Technical field (e.g., Computer Science, Applied Mathematics, Engineering)

Skills:CommunicationPresentationInfluenceTeamworkProblem-solving

Languages:English

Tech Stack:SQLPythonAWSAzureGCPBig DataLakehouseMLAI

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