Databricks

1 month ago

Sr. Solutions Architect (Lakebase)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Solutions Architect for the Lakebase product line, partnering with Account Executives to design and execute engagement strategies, influence product roadmaps, and enable clients at scale through workshops and collateral. Drives complex, multi-cloud data solutions in collaboration with GTM, R&D, and GSIs, serving as a trusted advisor to technical executives and ensuring successful adoption in mission-critical environments.

Location: Tokyo

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 organizations 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 warehousingAICloud

Education:Bachelor's in Computer Science, Applied Mathematics, Engineering or similar

Skills:SQLPythonAWSAzureGCPBig DataLakehouse

Languages:English

Tech Stack:SQLPythonAWSAzureGCPBig DataLakehouse

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

Sr. Solutions Architect (Lakebase)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Tokyo

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 organizations 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 warehousingAICloud

Education:Bachelor's in Computer Science, Applied Mathematics, Engineering or similar

Skills:SQLPythonAWSAzureGCPBig DataLakehouse

Languages:English

Tech Stack:SQLPythonAWSAzureGCPBig DataLakehouse

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