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 (Lakebase) collaborates with account teams to design and deliver high-impact, data-driven engagements for a targeted territory. They act as a trusted advisor, building credibility to drive product adoption, enable clients at scale through workshops and collateral, influence product roadmaps with field insights, and resolve complex technical challenges in mission-critical environments.

Location: Bengaluru

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.
•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).
•Broad experience across data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
•Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.

Experience:6+ yearsData engineeringData warehousingAIMLGovernanceTransactional systemsApp developmentStreaming

Education:Bachelor's

Skills:CommunicationPresentationProblem-solvingCollaborationStakeholder management

Languages:English

Tech Stack:SQLPythonAWSAzureGCPDatabricksBig 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

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: Bengaluru

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.
•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).
•Broad experience across data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
•Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.

Experience:6+ yearsData engineeringData warehousingAIMLGovernanceTransactional systemsApp developmentStreaming

Education:Bachelor's

Skills:CommunicationPresentationProblem-solvingCollaborationStakeholder management

Languages:English

Tech Stack:SQLPythonAWSAzureGCPDatabricksBig 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